| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.tr.vtt |
81 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.hr.vtt |
83 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.zh-CN.vtt |
83 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.zh-CN.vtt |
84 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.zh-CN.vtt |
84 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.zh-Hans.vtt |
85 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.hr.vtt |
85 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.hr.vtt |
85 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.en.vtt |
86 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.en.vtt |
86 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.hr.vtt |
86 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.hr.vtt |
87 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.it.vtt |
87 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.zh-CN.vtt |
87 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.ja.vtt |
88 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.en.vtt |
88 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.it.vtt |
88 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.ja.vtt |
88 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.pt-BR.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.it.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.pt-BR.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.en.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.pt-PT.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.it.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.it.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.ja.vtt |
89 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.zh-CN.vtt |
90 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.en.vtt |
90 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.zh-CN.vtt |
90 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.en.vtt |
90 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.it.vtt |
90 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.ar.vtt |
90 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.pt-BR.vtt |
91 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.ja.vtt |
91 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-tPSj6_m-0_M.ar.vtt |
92 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.pt-BR.vtt |
92 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.ja.vtt |
94 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt |
94 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.ar.vtt |
94 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.it.vtt |
94 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.zh-CN.vtt |
94 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.en.vtt |
95 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-o91iPvtqt78.es-ES.vtt |
95 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.ar.vtt |
95 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.hr.vtt |
95 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.es-ES.vtt |
95 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.en.vtt |
95 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.it.vtt |
96 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.ar.vtt |
96 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.en.vtt |
97 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.ja.vtt |
97 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt |
98 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.zh-Hans.vtt |
98 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-8j5hria6Rc8.ar.vtt |
98 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.zh-CN.vtt |
99 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.ar.vtt |
99 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.pt-BR.vtt |
99 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.pt-BR.vtt |
99 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.pt-BR.vtt |
100 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.ja.vtt |
100 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-f3y_weFskL4.pt-BR.vtt |
101 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.zh-Hans.vtt |
101 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.es-ES.vtt |
101 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.en.vtt |
103 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.en.vtt |
104 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.es-ES.vtt |
104 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt |
106 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.es-ES.vtt |
107 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.zh-CN.vtt |
108 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.pt-BR.vtt |
108 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt |
108 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.pt-BR.vtt |
108 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.th.vtt |
108 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.ar.vtt |
108 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.es-ES.vtt |
109 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.en.vtt |
109 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2--pOzdj6pnbA.es-ES.vtt |
109 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.en.vtt |
110 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt |
110 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.ja.vtt |
110 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.ar.vtt |
110 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.zh-CN.vtt |
111 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.zh-CN.vtt |
113 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.zh-CN.vtt |
113 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.ja.vtt |
113 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.zh-CN.vtt |
115 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-rDw0TIpwJ-c.ja.vtt |
116 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.zh-CN.vtt |
116 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.zh-CN.vtt |
117 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt |
118 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt |
118 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.en.vtt |
118 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.es-ES.vtt |
118 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.ja.vtt |
118 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.en.vtt |
119 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.zh-Hans.vtt |
119 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.es-ES.vtt |
120 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.en.vtt |
120 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.ja.vtt |
122 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.pt-BR.vtt |
122 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.ar.vtt |
122 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.en.vtt |
122 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.ja.vtt |
123 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.zh-CN.vtt |
123 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.pt-BR.vtt |
123 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt |
123 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt |
123 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.pt-BR.vtt |
125 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.es-ES.vtt |
125 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.es-ES.vtt |
125 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.ar.vtt |
126 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.ja.vtt |
126 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.zh-CN.vtt |
126 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.zh-CN.vtt |
127 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.it.vtt |
127 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.en.vtt |
128 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.en.vtt |
129 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.ar.vtt |
129 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.zh-CN.vtt |
129 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.it.vtt |
129 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.es-ES.vtt |
129 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.es-ES.vtt |
130 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.en.vtt |
130 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-PfEYA6z-19w.th.vtt |
130 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.ja.vtt |
132 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.ar.vtt |
132 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-dyShKWpTo-c.pt-BR.vtt |
133 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.ja.vtt |
134 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-etrUbOAoh1U.th.vtt |
135 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.zh-CN.vtt |
136 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.en.vtt |
136 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-tIrqdYTT_9Q.th.vtt |
137 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.ja.vtt |
137 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-dyShKWpTo-c.en.vtt |
137 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.es-ES.vtt |
138 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.it.vtt |
138 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.ja.vtt |
138 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.en.vtt |
138 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.ja.vtt |
139 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.en.vtt |
140 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.es-ES.vtt |
140 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.ja.vtt |
141 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.ja.vtt |
141 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.ar.vtt |
141 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.es-ES.vtt |
141 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.es-ES.vtt |
141 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.es-ES.vtt |
142 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.en.vtt |
142 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-jO81hfubpXY.en.vtt |
142 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.zh-CN.vtt |
142 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.ja.vtt |
142 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.es-ES.vtt |
143 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-G9yQ_URDrDQ.ar.vtt |
144 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.hr.vtt |
144 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt |
146 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.en.vtt |
146 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.en.vtt |
147 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.en.vtt |
148 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.ja.vtt |
149 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.pt-BR.vtt |
149 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.pt-BR.vtt |
149 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.hr.vtt |
149 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.zh-CN.vtt |
149 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt |
149 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.zh-CN.vtt |
150 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-jO81hfubpXY.zh-CN.vtt |
150 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.it.vtt |
151 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-ztkKTrMZHXg.th.vtt |
152 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.en.vtt |
152 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt |
152 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.ar.vtt |
152 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.zh-CN.vtt |
153 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.ar.vtt |
153 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.ja.vtt |
154 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.hr.vtt |
155 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.en.vtt |
155 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.es-ES.vtt |
155 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-jO81hfubpXY.pt-BR.vtt |
155 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.en.vtt |
155 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.zh-CN.vtt |
155 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt |
155 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.ja.vtt |
156 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.zh-CN.vtt |
157 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.hr.vtt |
157 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.ja.vtt |
157 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt |
157 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt |
157 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt |
158 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.ar.vtt |
158 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.pt-BR.vtt |
158 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt |
158 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.ja.vtt |
159 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.pt-BR.vtt |
160 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-4qW7a5E74No.th.vtt |
160 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.es-ES.vtt |
160 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.zh-CN.vtt |
160 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.en.vtt |
161 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.ar.vtt |
161 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.pt-BR.vtt |
162 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt |
163 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/12. Normalizer-W5i-gRAvZxs.ar.vtt |
163 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.hr.vtt |
163 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.it.vtt |
164 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt |
164 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt |
164 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.pt-BR.vtt |
164 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-E1ph6NP3_v4.th.vtt |
164 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.en.vtt |
165 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt |
165 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.es-ES.vtt |
166 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.ar.vtt |
166 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.ar.vtt |
167 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.pt-BR.vtt |
167 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.en.vtt |
167 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-udXhxyls5Dw.pt-BR.vtt |
168 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.pt-BR.vtt |
169 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.pt-BR.vtt |
169 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.en.vtt |
169 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.pt-BR.vtt |
170 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.es-ES.vtt |
170 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.it.vtt |
171 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.it.vtt |
171 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LNzmJUj8K8w.pt-BR.vtt |
171 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.pt-BR.vtt |
173 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.pt-BR.vtt |
173 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.it.vtt |
173 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.pt-BR.vtt |
173 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.it.vtt |
174 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.es-ES.vtt |
174 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.es-ES.vtt |
174 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.en.vtt |
174 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.ja.vtt |
175 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.ar.vtt |
175 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.ar.vtt |
176 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.ja.vtt |
176 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.pt-BR.vtt |
177 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-clFL503NPyY.th.vtt |
177 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.zh-CN.vtt |
177 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.en.vtt |
178 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.th.vtt |
178 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.it.vtt |
178 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.zh-CN.vtt |
180 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.zh-CN.vtt |
180 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.en.vtt |
180 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.ja.vtt |
180 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.zh-CN.vtt |
182 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.en.vtt |
182 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.pt-BR.vtt |
183 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.pt-BR.vtt |
184 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.ar.vtt |
184 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-GsneDVJB75E.ja.vtt |
184 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.es-ES.vtt |
185 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.pt-BR.vtt |
186 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.zh-CN.vtt |
186 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.en.vtt |
186 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/08. Aggregation 2-xhpEqsHTf3g.it.vtt |
187 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.zh-CN.vtt |
187 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.ja.vtt |
187 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.pt-BR.vtt |
188 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.zh-Hans.vtt |
189 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.ar.vtt |
190 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.ja.vtt |
190 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.en.vtt |
190 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.ar.vtt |
191 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.zh-CN.vtt |
192 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.es-ES.vtt |
192 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.ja.vtt |
194 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.ja.vtt |
194 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.en.vtt |
196 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.ar.vtt |
196 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.zh-CN.vtt |
196 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.ja.vtt |
197 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.zh-CN.vtt |
197 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.hr.vtt |
197 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.zh-CN.vtt |
198 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.ja.vtt |
198 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.en.vtt |
198 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.ja.vtt |
199 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.ja.vtt |
200 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.ja.vtt |
201 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.pt-BR.vtt |
201 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.ar.vtt |
202 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.ja.vtt |
202 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.pt-BR.vtt |
202 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.pt-BR.vtt |
203 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.hr.vtt |
204 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4--GMhV1twy6Y.ar.vtt |
204 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-fqt7NIvMB0s.th.vtt |
204 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.zh-CN.vtt |
204 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/17. Disease Test 4-UERKMwmkAsM.th.vtt |
205 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.it.vtt |
205 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.ar.vtt |
207 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.zh-CN.vtt |
207 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.ar.vtt |
208 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.hr.vtt |
209 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.pt-BR.vtt |
209 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.en.vtt |
210 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.it.vtt |
210 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.zh-CN.vtt |
210 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.es-ES.vtt |
210 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.ar.vtt |
211 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.pt-BR.vtt |
212 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.zh-CN.vtt |
212 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.ja.vtt |
212 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.it.vtt |
212 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.zh-CN.vtt |
212 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.hr.vtt |
213 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.en.vtt |
213 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.it.vtt |
213 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.en.vtt |
214 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.zh-CN.vtt |
214 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.en.vtt |
214 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.en.vtt |
214 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.pt-PT.vtt |
215 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.zh-CN.vtt |
215 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-7ZLe_JP5wRY.pt-BR.vtt |
216 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.ja.vtt |
216 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.hr.vtt |
216 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.zh-CN.vtt |
216 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.en.vtt |
216 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.en.vtt |
217 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.ja.vtt |
217 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.es-ES.vtt |
217 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.zh-CN.vtt |
218 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-0bEbJ33dUis.ar.vtt |
218 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.pt-BR.vtt |
218 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-Nn_8kCRYn2k.ar.vtt |
218 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.es-ES.vtt |
219 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.ja.vtt |
219 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.pt-BR.vtt |
219 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.en.vtt |
219 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.en.vtt |
219 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.es-ES.vtt |
221 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.ar.vtt |
222 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.ar.vtt |
222 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.en.vtt |
222 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.ar.vtt |
222 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.pt-BR.vtt |
223 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.pt-BR.vtt |
223 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.zh-CN.vtt |
225 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.zh-CN.vtt |
226 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.es-ES.vtt |
227 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.zh-CN.vtt |
228 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.th.vtt |
228 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.zh-CN.vtt |
228 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.en.vtt |
231 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.es-ES.vtt |
231 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.it.vtt |
231 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.zh-CN.vtt |
232 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.es-ES.vtt |
233 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.it.vtt |
234 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.es-ES.vtt |
234 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.ar.vtt |
234 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.es-ES.vtt |
234 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.ja.vtt |
236 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.es-ES.vtt |
236 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.ja.vtt |
237 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.ar.vtt |
238 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.hr.vtt |
238 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.en.vtt |
238 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.es-ES.vtt |
238 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.it.vtt |
239 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.es-ES.vtt |
239 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-Se-ddM2Wdac.th.vtt |
240 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.it.vtt |
240 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.en.vtt |
240 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.pt-BR.vtt |
240 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-_hXCgF-aMB0.th.vtt |
240 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.zh-CN.vtt |
241 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.ja.vtt |
241 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.en.vtt |
241 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.zh-CN.vtt |
241 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.es-ES.vtt |
242 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.es-ES.vtt |
243 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.ja.vtt |
243 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.zh-CN.vtt |
244 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/27. Robot Sensing 7-goEMc0w58xM.th.vtt |
244 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.en.vtt |
244 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.en.vtt |
245 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 01-Module 01-Lesson 01_Welcome to the Data Scientist Nanodegree program/07. Meet The Instructors-ndyjFUF2e9Q.en.vtt |
246 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.en.vtt |
246 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.pt-BR.vtt |
246 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.en.vtt |
247 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.ja.vtt |
247 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.ja.vtt |
247 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.en.vtt |
248 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.ar.vtt |
248 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.zh-CN.vtt |
248 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.ja.vtt |
248 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.it.vtt |
248 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.pt-BR.vtt |
249 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.pt-BR.vtt |
249 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.pt-BR.vtt |
249 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.pt-BR.vtt |
249 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.ar.vtt |
250 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.zh-CN.vtt |
250 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.es-ES.vtt |
251 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.zh-CN.vtt |
251 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.es-ES.vtt |
252 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.en.vtt |
252 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.ar.vtt |
252 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.hr.vtt |
252 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.th.vtt |
252 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.pt-BR.vtt |
253 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.ja.vtt |
254 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.ar.vtt |
254 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.pt-BR.vtt |
254 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.zh-CN.vtt |
256 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.en.vtt |
256 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.en.vtt |
256 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.es-ES.vtt |
257 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.zh-CN.vtt |
257 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.es-ES.vtt |
258 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.en.vtt |
260 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.es-ES.vtt |
260 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.ja.vtt |
260 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.pt-BR.vtt |
260 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.ja.vtt |
261 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.ja.vtt |
262 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.pt-BR.vtt |
262 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.ja.vtt |
264 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.pt-BR.vtt |
264 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.ar.vtt |
265 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.ar.vtt |
265 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.pt-BR.vtt |
265 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.ar.vtt |
265 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.th.vtt |
267 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.en.vtt |
268 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.zh-CN.vtt |
268 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.pt-BR.vtt |
269 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.es-ES.vtt |
272 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.zh-CN.vtt |
275 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.pt-BR.vtt |
276 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.zh-CN.vtt |
277 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.en.vtt |
277 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.ar.vtt |
278 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.ar.vtt |
279 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.en.vtt |
279 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.zh-CN.vtt |
280 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.es-ES.vtt |
281 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.pt-BR.vtt |
281 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.en.vtt |
281 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.zh-CN.vtt |
282 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.ar.vtt |
283 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.zh-CN.vtt |
283 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.pt-BR.vtt |
284 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.pt-BR.vtt |
285 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.ar.vtt |
286 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.zh-CN.vtt |
288 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.hr.vtt |
289 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.it.vtt |
289 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.zh-CN.vtt |
291 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.pt-BR.vtt |
291 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.it.vtt |
291 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.hr.vtt |
291 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.en.vtt |
292 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.ja.vtt |
293 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.pt-BR.vtt |
293 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.zh-CN.vtt |
293 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.zh-CN.vtt |
294 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.zh-CN.vtt |
296 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.ja.vtt |
296 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.zh-CN.vtt |
297 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.zh-CN.vtt |
298 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.ja.vtt |
298 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.th.vtt |
299 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.ja.vtt |
300 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.ja.vtt |
300 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.ja.vtt |
301 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.es-ES.vtt |
301 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.ja.vtt |
301 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.zh-CN.vtt |
302 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.ja.vtt |
302 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.ar.vtt |
302 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.en.vtt |
302 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.ar.vtt |
302 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.zh-CN.vtt |
303 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.zh-CN.vtt |
303 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.ar.vtt |
303 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.ar.vtt |
303 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.ja.vtt |
304 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.zh-CN.vtt |
304 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.ja.vtt |
304 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.pt-BR.vtt |
305 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.zh-CN.vtt |
305 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.ja.vtt |
305 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.hr.vtt |
305 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6-iyE5h48qPFQ.th.vtt |
305 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.ja.vtt |
305 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.en.vtt |
306 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.it.vtt |
307 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.pt-BR.vtt |
307 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.en.vtt |
307 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.zh-CN.vtt |
307 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.it.vtt |
308 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.pt-BR.vtt |
309 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.zh-CN.vtt |
309 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.en.vtt |
310 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.ja.vtt |
310 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.it.vtt |
311 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.ar.vtt |
312 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.hr.vtt |
312 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.en.vtt |
313 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.zh-CN.vtt |
314 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.it.vtt |
314 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.it.vtt |
315 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.ja.vtt |
315 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.ar.vtt |
315 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.zh-CN.vtt |
316 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.pt-BR.vtt |
317 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.en.vtt |
317 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.es-ES.vtt |
318 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.en.vtt |
319 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-r8stm2et_hI.ar.vtt |
319 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.ar.vtt |
319 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.hr.vtt |
319 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.zh-CN.vtt |
320 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.en.vtt |
322 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.zh-CN.vtt |
323 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.ja.vtt |
323 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.it.vtt |
324 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.ar.vtt |
325 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.en.vtt |
325 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.zh-CN.vtt |
325 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.ja.vtt |
326 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.ar.vtt |
326 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.ja.vtt |
326 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.ja.vtt |
327 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.es-ES.vtt |
327 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.es-ES.vtt |
329 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.pt-BR.vtt |
329 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.zh-CN.vtt |
331 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.ja.vtt |
331 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.ja.vtt |
332 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.es-ES.vtt |
332 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.pt-BR.vtt |
332 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.es-ES.vtt |
333 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.zh-CN.vtt |
333 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.ar.vtt |
334 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.pt-BR.vtt |
335 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.zh-CN.vtt |
335 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.ar.vtt |
336 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.en.vtt |
336 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.es-ES.vtt |
337 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.en.vtt |
337 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.pt-BR.vtt |
337 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.it.vtt |
338 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.ar.vtt |
339 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.th.vtt |
339 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.en.vtt |
339 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.pt-BR.vtt |
339 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.en.vtt |
340 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.zh-CN.vtt |
341 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.en.vtt |
341 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.it.vtt |
341 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.ar.vtt |
341 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.th.vtt |
342 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.en.vtt |
342 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.en.vtt |
342 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.ar.vtt |
342 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.en.vtt |
343 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.pt-BR.vtt |
344 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.ja.vtt |
345 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.en.vtt |
346 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.es-ES.vtt |
348 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.es-ES.vtt |
348 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.zh-CN.vtt |
348 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.en.vtt |
349 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.en.vtt |
349 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.pt-BR.vtt |
349 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.en.vtt |
350 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.ja.vtt |
350 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.es-ES.vtt |
350 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.en.vtt |
351 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.zh-CN.vtt |
351 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.zh-CN.vtt |
352 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.ar.vtt |
352 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.en.vtt |
353 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.ja.vtt |
353 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.en.vtt |
354 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.pt-BR.vtt |
354 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.th.vtt |
354 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.pt-BR.vtt |
354 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.zh-CN.vtt |
355 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.es-ES.vtt |
355 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.zh-CN.vtt |
355 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.es-ES.vtt |
356 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.pt-BR.vtt |
356 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.ja.vtt |
357 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.es-ES.vtt |
357 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.en.vtt |
357 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.es-ES.vtt |
357 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt |
357 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.es-ES.vtt |
358 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.en.vtt |
358 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.it.vtt |
359 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.th.vtt |
359 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.es-ES.vtt |
360 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.pt-BR.vtt |
360 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.pt-BR.vtt |
362 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.zh-CN.vtt |
362 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.ar.vtt |
364 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt |
364 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 03_Perceptron Algorithm/08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt |
364 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt |
364 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.en.vtt |
364 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.es-ES.vtt |
366 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.zh-CN.vtt |
366 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.es-ES.vtt |
367 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.zh-CN.vtt |
369 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.zh-CN.vtt |
369 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.en.vtt |
370 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.ja.vtt |
370 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.ja.vtt |
371 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt |
371 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.it.vtt |
372 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.pt-BR.vtt |
373 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.ja.vtt |
373 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.en.vtt |
373 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.ja.vtt |
374 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.it.vtt |
375 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.pt-BR.vtt |
375 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.zh-CN.vtt |
376 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.pt-BR.vtt |
376 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.pt-BR.vtt |
377 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.pt-BR.vtt |
377 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.zh-CN.vtt |
378 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.zh-CN.vtt |
379 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.zh-CN.vtt |
380 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.zh-CN.vtt |
380 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.en.vtt |
382 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.it.vtt |
382 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.hr.vtt |
383 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.pt-BR.vtt |
383 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.hr.vtt |
384 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.en.vtt |
387 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.ar.vtt |
387 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.es-ES.vtt |
388 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.ja.vtt |
389 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.ja.vtt |
389 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.zh-CN.vtt |
389 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.es-ES.vtt |
389 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.zh-CN.vtt |
389 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.ja.vtt |
390 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt |
390 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.es-ES.vtt |
390 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 03_Perceptron Algorithm/08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt |
390 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt |
390 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.pt-BR.vtt |
391 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt |
392 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.pt-BR.vtt |
393 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.th.vtt |
393 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.es-ES.vtt |
393 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.en.vtt |
394 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.ar.vtt |
395 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.ja.vtt |
395 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.pt-BR.vtt |
396 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.ar.vtt |
396 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.ja.vtt |
397 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.pt-BR.vtt |
397 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.th.vtt |
398 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.ar.vtt |
399 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.zh-CN.vtt |
399 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.en.vtt |
399 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.ar.vtt |
399 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.pt-BR.vtt |
401 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.ar.vtt |
402 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.ja.vtt |
403 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.zh-CN.vtt |
403 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.zh-CN.vtt |
403 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.ar.vtt |
404 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.ar.vtt |
405 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.pt-BR.vtt |
405 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.es-ES.vtt |
406 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.pt-BR.vtt |
406 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.zh-CN.vtt |
408 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.zh-CN.vtt |
408 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-2cUiqlbt-hc.ar.vtt |
408 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.it.vtt |
409 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.pt-BR.vtt |
410 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.zh-CN.vtt |
410 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt |
410 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.pt-BR.vtt |
410 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.zh-CN.vtt |
411 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.ar.vtt |
411 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.pt-BR.vtt |
411 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.es-ES.vtt |
412 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.it.vtt |
414 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.en.vtt |
414 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.th.vtt |
415 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.ja.vtt |
415 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.en.vtt |
416 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.ja.vtt |
417 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 01_Clustering/21. Outro-AeDSl4KSVIE.en.vtt |
417 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.es-ES.vtt |
417 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.pt-BR.vtt |
418 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt |
419 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/20. Random Restart-idyBBCzXiqg.zh-CN.vtt |
419 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.ja.vtt |
419 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt |
419 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt |
420 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.ja.vtt |
420 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 03_Perceptron Algorithm/08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt |
420 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.zh-CN.vtt |
420 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.ar.vtt |
420 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt |
420 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 17-Module 01-Lesson 01_Intro to Experiment Design and Recommendation Engines/05. Outro-dVrYQ7o8a-k.pt-BR.vtt |
422 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.pt-BR.vtt |
422 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.it.vtt |
422 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.ar.vtt |
422 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.zh-CN.vtt |
422 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.en.vtt |
423 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-rRPwknIDuI0.th.vtt |
423 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.en.vtt |
424 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.es-ES.vtt |
424 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.es-ES.vtt |
425 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.zh-CN.vtt |
425 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.hr.vtt |
425 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.en.vtt |
425 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.zh-CN.vtt |
426 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.es-ES.vtt |
426 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.pt-BR.vtt |
427 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.en.vtt |
427 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.en.vtt |
428 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.ja.vtt |
428 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.zh-CN.vtt |
431 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.en.vtt |
432 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/01. Support Vector Machine V2-LBmM6pZCrI0.zh-CN.vtt |
432 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.it.vtt |
433 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.en.vtt |
433 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.pt-BR.vtt |
433 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 16-Module 01-Lesson 02_ETL Pipelines/41. 52 Putting It All Together V1 1 V1-D2Th0KdPI-Y.en.vtt |
434 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt |
435 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.it.vtt |
435 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.ar.vtt |
436 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.ar.vtt |
437 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 09_Training and Tuning/13. MLND Outro-sFvMBncQjr8.zh-CN.vtt |
437 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt |
438 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.zh-CN.vtt |
440 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.pt-BR.vtt |
440 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.th.vtt |
441 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.zh-CN.vtt |
441 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.pt-BR.vtt |
442 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.zh-CN.vtt |
442 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.pt-BR.vtt |
444 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.it.vtt |
444 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.ja.vtt |
444 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 01_Clustering/21. Outro-AeDSl4KSVIE.pt-BR.vtt |
445 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.ar.vtt |
445 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.zh-CN.vtt |
446 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.th.vtt |
447 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.pt-BR.vtt |
447 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.en.vtt |
449 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.ja.vtt |
449 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.es-ES.vtt |
451 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.zh-CN.vtt |
451 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.it.vtt |
452 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.en.vtt |
453 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt |
453 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.hr.vtt |
453 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/README.txt |
454 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.en.vtt |
455 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.ar.vtt |
455 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.es-ES.vtt |
455 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.zh-CN.vtt |
456 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.ar.vtt |
456 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.it.vtt |
456 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.zh-CN.vtt |
456 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt |
457 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.ja.vtt |
458 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.zh-CN.vtt |
458 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.es-ES.vtt |
459 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.ar.vtt |
459 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.zh-CN.vtt |
460 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt |
460 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.zh-CN.vtt |
460 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.en.vtt |
461 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.ar.vtt |
462 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.ar.vtt |
463 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/09. SVM 07 Error Function V1-A1wbrcSYc1c.pt-BR.vtt |
465 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.pt-BR.vtt |
465 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.es-ES.vtt |
466 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/20. Random Restart-idyBBCzXiqg.en.vtt |
466 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt |
466 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.zh-CN.vtt |
467 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/09. SVM 07 Error Function V1-A1wbrcSYc1c.zh-CN.vtt |
467 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.en.vtt |
467 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.en.vtt |
468 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.en.vtt |
468 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.en.vtt |
469 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.hr.vtt |
469 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.en.vtt |
470 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.ar.vtt |
471 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.es-ES.vtt |
471 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.es-ES.vtt |
471 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.ar.vtt |
472 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.en-US.vtt |
472 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.en.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.zh-CN.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.pt-BR.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.ja.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.es-ES.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.ar.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.ar.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.pt-BR.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt |
473 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.it.vtt |
476 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt |
476 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.es-ES.vtt |
478 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.pt-BR.vtt |
478 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt |
478 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/20. Random Restart-idyBBCzXiqg.pt-BR.vtt |
478 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.en.vtt |
479 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.th.vtt |
480 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.es-ES.vtt |
480 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.pt-BR.vtt |
481 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt |
481 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt |
481 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.ar.vtt |
481 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.en-US.vtt |
482 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.pt-BR.vtt |
482 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.ja.vtt |
483 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.en.vtt |
484 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.en.vtt |
486 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.pt-BR.vtt |
488 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.zh-CN.vtt |
490 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt |
490 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.ja.vtt |
491 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.en.vtt |
491 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.ar.vtt |
491 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.ja.vtt |
492 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.zh-CN.vtt |
492 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 17-Module 01-Lesson 01_Intro to Experiment Design and Recommendation Engines/05. Outro-dVrYQ7o8a-k.en.vtt |
493 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.ar.vtt |
493 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.es-ES.vtt |
493 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.pt-BR.vtt |
495 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.en.vtt |
495 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.zh-CN.vtt |
495 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.en.vtt |
495 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.en.vtt |
495 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.pt-BR.vtt |
496 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.en.vtt |
496 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.pt-BR.vtt |
497 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.en.vtt |
497 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.ar.vtt |
497 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.pt-BR.vtt |
498 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/14. Analyzing Multiple Metrics-DtZghKNa7Ak.zh-CN.vtt |
499 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.pt-BR.vtt |
500 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt |
501 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt |
501 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.pt-BR.vtt |
501 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt |
501 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.es-ES.vtt |
502 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.pt-BR.vtt |
503 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.zh-CN.vtt |
503 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.it.vtt |
504 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.zh-CN.vtt |
504 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.zh-CN.vtt |
505 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.en.vtt |
508 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.pt-BR.vtt |
508 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.ar.vtt |
509 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.en.vtt |
513 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 09_Training and Tuning/13. MLND Outro-sFvMBncQjr8.en.vtt |
514 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 16-Module 01-Lesson 02_ETL Pipelines/41. 52 Putting It All Together V1 1 V1-D2Th0KdPI-Y.pt-BR.vtt |
514 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/01. Support Vector Machine V2-LBmM6pZCrI0.en.vtt |
514 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.ar.vtt |
516 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.pt-BR.vtt |
516 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.es-ES.vtt |
516 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 01-Module 01-Lesson 01_Welcome to the Data Scientist Nanodegree program/02. Projects-1-E_ZYovKeI.pt-BR.vtt |
516 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.zh-CN.vtt |
516 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/09. SVM 07 Error Function V1-A1wbrcSYc1c.en.vtt |
517 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.hr.vtt |
517 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.ar.vtt |
518 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.ar.vtt |
518 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.zh-CN.vtt |
521 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.zh-CN.vtt |
522 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.zh-CN.vtt |
522 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.pt-BR.vtt |
522 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.pt-BR.vtt |
523 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.en.vtt |
523 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.pt-BR.vtt |
523 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.ar.vtt |
524 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/07. Accuracy 2-ueYCLfd_aNQ.zh-CN.vtt |
524 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.en.vtt |
524 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.ja.vtt |
525 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.pt-BR.vtt |
526 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.ja.vtt |
527 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.en.vtt |
527 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 01-Module 01-Lesson 01_Welcome to the Data Scientist Nanodegree program/02. Projects-1-E_ZYovKeI.en.vtt |
527 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.en.vtt |
528 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.pt-BR.vtt |
529 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.es-ES.vtt |
529 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.en.vtt |
530 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.pt-BR.vtt |
530 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.hr.vtt |
530 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.zh-CN.vtt |
531 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.ja.vtt |
531 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.es-ES.vtt |
531 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.ar.vtt |
532 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.ja.vtt |
532 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.zh-CN.vtt |
532 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.zh-CN.vtt |
532 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.pt-BR.vtt |
533 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.es-ES.vtt |
533 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 09_Training and Tuning/13. MLND Outro-sFvMBncQjr8.pt-BR.vtt |
533 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.ar.vtt |
533 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.en.vtt |
534 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.ar.vtt |
534 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.es-ES.vtt |
535 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.ar.vtt |
535 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.zh-CN.vtt |
536 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.en.vtt |
536 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.zh-CN.vtt |
536 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.en.vtt |
537 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt |
538 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.es-ES.vtt |
538 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.zh-CN.vtt |
538 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.hr.vtt |
539 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/26. Keras Lab-a50un22BsLI.zh-CN.vtt |
540 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 04_Keras/06. Keras Lab-a50un22BsLI.zh-CN.vtt |
540 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.en.vtt |
540 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.pt-BR.vtt |
541 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.th.vtt |
541 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.ja.vtt |
541 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt |
542 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/01. Support Vector Machine V2-LBmM6pZCrI0.pt-BR.vtt |
543 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.ar.vtt |
544 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt |
545 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt |
545 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.pt-BR.vtt |
547 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.zh-CN.vtt |
547 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.ar.vtt |
547 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.pt-BR.vtt |
547 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.th.vtt |
548 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt |
548 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt |
548 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.zh-CN.vtt |
549 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.ar.vtt |
549 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.en.vtt |
549 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt |
551 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt |
551 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt |
551 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.it.vtt |
552 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.pt-BR.vtt |
552 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.zh-CN.vtt |
552 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.zh-CN.vtt |
553 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.en.vtt |
553 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.zh-CN.vtt |
554 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.th.vtt |
554 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.en.vtt |
555 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.zh-CN.vtt |
556 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt |
556 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.ja.vtt |
557 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.ar.vtt |
558 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.zh-CN.vtt |
558 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.en.vtt |
558 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.es-ES.vtt |
560 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 03_Gaussian Mixture Models and Cluster Validation/13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.zh-CN.vtt |
561 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.ar.vtt |
562 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.pt-BR.vtt |
563 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.en.vtt |
564 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.hr.vtt |
565 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.es-ES.vtt |
565 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.zh-CN.vtt |
566 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.es-ES.vtt |
566 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.pt-BR.vtt |
567 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.pt-BR.vtt |
567 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.zh-CN.vtt |
569 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.en.vtt |
569 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.pt-BR.vtt |
570 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.it.vtt |
571 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.en.vtt |
571 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.ja.vtt |
572 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/14. Analyzing Multiple Metrics-DtZghKNa7Ak.en.vtt |
572 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.zh-CN.vtt |
572 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/26. Keras Lab-a50un22BsLI.pt-BR.vtt |
574 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 04_Keras/06. Keras Lab-a50un22BsLI.pt-BR.vtt |
574 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.es-ES.vtt |
575 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.hr.vtt |
575 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.en.vtt |
575 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.pt-BR.vtt |
576 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.zh-CN.vtt |
577 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.th.vtt |
578 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.pt-BR.vtt |
579 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.th.vtt |
579 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.zh-Hans.vtt |
579 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.zh-CN.vtt |
579 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.pt-BR.vtt |
582 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.ar.vtt |
582 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.zh-CN.vtt |
582 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.zh-CN.vtt |
582 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.pt-BR.vtt |
583 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt |
584 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.ja.vtt |
584 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt |
584 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.ar.vtt |
584 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 04_Keras/06. Keras Lab-a50un22BsLI.en.vtt |
586 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.en.vtt |
586 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/26. Keras Lab-a50un22BsLI.en.vtt |
586 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.ja.vtt |
587 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.zh-CN.vtt |
588 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.ja.vtt |
589 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.pt-BR.vtt |
589 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.en.vtt |
591 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.ar.vtt |
591 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.pt-BR.vtt |
593 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.ja.vtt |
594 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.es-ES.vtt |
595 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.ja.vtt |
596 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.ja.vtt |
597 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.zh-CN.vtt |
597 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.pt-BR.vtt |
597 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.en.vtt |
598 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.pt-BR.vtt |
598 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.it.vtt |
598 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.en.vtt |
599 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.ar.vtt |
599 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.pt-BR.vtt |
599 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 03_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt |
599 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.hr.vtt |
599 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/01. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt |
600 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt |
600 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.pt-BR.vtt |
602 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-pT0FXiH_5nI.th.vtt |
603 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 01-Module 03-Lesson 01_Setting Up Your Computer/20. L2 02 Outro REPLACEMENT-W-6Se0G_FVE.en.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.th.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.ar.vtt |
607 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.en.vtt |
607 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt |
608 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.ja.vtt |
608 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.es-ES.vtt |
608 B |
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609 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.en.vtt |
610 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.es-ES.vtt |
611 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.zh-CN.vtt |
613 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 03_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt |
615 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.ar.vtt |
615 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.zh-CN.vtt |
616 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.zh-CN.vtt |
616 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.zh-CN.vtt |
616 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.zh-CN.vtt |
616 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.ru.vtt |
617 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.en.vtt |
617 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.ja.vtt |
617 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.zh-CN.vtt |
617 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.en-US.vtt |
617 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.en.vtt |
617 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.pt-BR.vtt |
617 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.it.vtt |
618 B |
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618 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.ja.vtt |
618 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/07. Accuracy 2-ueYCLfd_aNQ.pt-BR.vtt |
618 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.pt-BR.vtt |
620 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/19. Congratulations!-_FPpbuuW-1o.pt-BR.vtt |
620 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.ja.vtt |
621 B |
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622 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.zh-CN.vtt |
622 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-zB2Y-5YEIec.ar.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.ja.vtt |
623 B |
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624 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt |
624 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.it.vtt |
625 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.ja.vtt |
625 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.ar.vtt |
626 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.ja.vtt |
627 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.en.vtt |
628 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.pt-BR.vtt |
629 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.es-ES.vtt |
629 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.zh-CN.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.en.vtt |
630 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 05_Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt |
631 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/01. Non-Linear Data-F7ZiE8PQiSc.en.vtt |
633 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.en.vtt |
633 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.zh-CN.vtt |
633 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.en.vtt |
633 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.th.vtt |
634 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt |
634 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.en.vtt |
635 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 03_Gaussian Mixture Models and Cluster Validation/13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.en.vtt |
635 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.hr.vtt |
637 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.pt-BR.vtt |
638 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.zh-CN.vtt |
638 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.zh-CN.vtt |
639 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.en.vtt |
639 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.hr.vtt |
640 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.ar.vtt |
640 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 01_Machine Learning Bird's Eye View/01. Introduction-LcX-s-ujp7U.en.vtt |
641 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.pt-BR.vtt |
642 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.zh-CN.vtt |
643 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 2-so5zydnbYEg.zh-CN.vtt |
643 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.zh-CN.vtt |
644 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.en.vtt |
645 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.en.vtt |
646 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.pt-BR.vtt |
646 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.ar.vtt |
650 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.ar.vtt |
650 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.zh-CN.vtt |
650 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.en.vtt |
650 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.en.vtt |
651 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.en.vtt |
651 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.ar.vtt |
652 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.th.vtt |
653 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.pt-BR.vtt |
653 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.en.vtt |
653 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.ar.vtt |
654 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.th.vtt |
654 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/29. Conclusion-wOiUQDgGD9E.zh-CN.vtt |
655 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.en.vtt |
655 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.en.vtt |
655 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.ar.vtt |
656 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.it.vtt |
656 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/07. Accuracy 2-ueYCLfd_aNQ.pt.vtt |
656 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.es-ES.vtt |
656 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.ja.vtt |
657 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.th.vtt |
657 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.en.vtt |
658 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.zh-CN.vtt |
658 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.ja.vtt |
661 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.ar.vtt |
662 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.ar.vtt |
662 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.hr.vtt |
662 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.ar.vtt |
663 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.en.vtt |
663 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.zh-CN.vtt |
664 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.en.vtt |
665 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.es-ES.vtt |
665 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.ar.vtt |
665 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.pt-BR.vtt |
666 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.th.vtt |
667 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.ja.vtt |
669 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.zh-CN.vtt |
670 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.ar.vtt |
670 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.es-ES.vtt |
671 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.it.vtt |
671 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 15-Module 01-Lesson 03_Software Engineering Practices Pt II/14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.en.vtt |
671 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.es-ES.vtt |
671 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.ar.vtt |
673 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.pt-BR.vtt |
673 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.zh-CN.vtt |
673 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.zh-CN.vtt |
675 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.en.vtt |
675 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.ar.vtt |
675 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.zh-CN.vtt |
676 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.th.vtt |
677 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt |
678 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.ar.vtt |
679 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.es-ES.vtt |
679 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.es-ES.vtt |
679 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.pt-BR.vtt |
680 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.es-ES.vtt |
681 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.es-ES.vtt |
682 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.en.vtt |
682 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.en.vtt |
682 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 2-so5zydnbYEg.en.vtt |
682 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.ar.vtt |
683 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.ar.vtt |
684 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-M3L0a5V4Nf0.ar.vtt |
684 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.ar.vtt |
684 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.pt-BR.vtt |
684 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 15-Module 01-Lesson 03_Software Engineering Practices Pt II/01. L2 2 01 Intro V1 V2-QO2GYq8q92E.en.vtt |
685 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.es-ES.vtt |
686 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.pt-BR.vtt |
686 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.pt-BR.vtt |
687 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/07. Accuracy 2-ueYCLfd_aNQ.en.vtt |
688 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.pt-BR.vtt |
688 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 05_Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt |
690 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.en.vtt |
690 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.hr.vtt |
690 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.pt-BR.vtt |
691 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.pt-BR.vtt |
692 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.pt-BR.vtt |
692 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.pt-BR.vtt |
694 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 03_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.en.vtt |
694 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 03_Gaussian Mixture Models and Cluster Validation/13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.pt-BR.vtt |
694 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.pt-BR.vtt |
695 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.it.vtt |
695 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.zh-CN.vtt |
695 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.pt-BR.vtt |
695 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.pt-BR.vtt |
696 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.it.vtt |
697 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.zh-CN.vtt |
698 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.pt-BR.vtt |
699 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 01-Lesson 01_The Data Science Process/01. Introduction-VpxATYHhKM8.en.vtt |
700 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.th.vtt |
700 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.zh-CN.vtt |
701 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 06_Support Vector Machines/02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt |
701 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.pt-BR.vtt |
702 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.it.vtt |
702 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.en.vtt |
704 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.zh-CN.vtt |
704 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt |
705 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.pt-BR.vtt |
705 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.ar.vtt |
706 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.zh-CN.vtt |
707 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.ja.vtt |
708 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.zh-CN.vtt |
708 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.ja.vtt |
710 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.it.vtt |
712 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.zh-CN.vtt |
713 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.en.vtt |
714 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.en.vtt |
715 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.en.vtt |
715 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 03_SQL Aggregations/09. MIN MAX-1ewVsgWUih8.zh-CN.vtt |
715 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.pl.vtt |
715 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.ja.vtt |
716 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 05_Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt |
716 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/07. Accuracy 2-ueYCLfd_aNQ.en-US.vtt |
716 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.ar.vtt |
717 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.ja.vtt |
717 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.th.vtt |
717 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt |
719 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt |
719 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.en.vtt |
720 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.th.vtt |
723 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 04_Decision Trees/13. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.pt-BR.vtt |
723 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.zh-CN.vtt |
724 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/29. Conclusion-wOiUQDgGD9E.en.vtt |
725 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 17-Module 03-Lesson 01_Introduction to Recommendation Engines/04. Intro To MovieTweetings-cuXvLIkq_W8.en.vtt |
725 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.ar.vtt |
726 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.ar.vtt |
727 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 04_Decision Trees/13. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.zh-CN.vtt |
727 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.es-ES.vtt |
728 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.pt-BR.vtt |
728 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.th.vtt |
729 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.es-ES.vtt |
729 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 17-Module 03-Lesson 02_Matrix Factorization for Recommendations/17. Funk SVD Review-nc3GMIrISHE.en.vtt |
729 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.ja.vtt |
730 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.ar.vtt |
731 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.ar.vtt |
731 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.en.vtt |
734 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.pt-BR.vtt |
735 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.pt-BR.vtt |
735 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/01. Introduction-2Y279421n3A.zh-CN.vtt |
736 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.en.vtt |
736 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 15_Multiple Linear Regression/26. Recap-VM6GGNC2q8I.zh-CN.vtt |
736 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.pt-BR.vtt |
736 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.pt-BR.vtt |
737 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 2-so5zydnbYEg.pt-BR.vtt |
737 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.en.vtt |
737 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.en.vtt |
738 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.ar.vtt |
738 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/13. Error Functions-YfUUunxWIJw.zh-CN.vtt |
739 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.zh-CN.vtt |
739 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/19. Congratulations!-_FPpbuuW-1o.zh-CN.vtt |
741 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.es-ES.vtt |
741 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.pt-BR.vtt |
741 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.it.vtt |
742 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 11_Confidence Intervals/16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.zh-CN.vtt |
742 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.zh-CN.vtt |
745 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.pt-BR.vtt |
745 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt |
745 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.es-ES.vtt |
746 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.es-ES.vtt |
746 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.pt-BR.vtt |
746 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.pt-BR.vtt |
747 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.ar.vtt |
747 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.hr.vtt |
748 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.ja.vtt |
748 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.es-ES.vtt |
748 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/01. Introduction-SvdlBB-ZjcQ.zh-CN.vtt |
750 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 14_Regression/21. Recap-DzMi27LI5l4.zh-CN.vtt |
750 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.zh-CN.vtt |
751 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.en.vtt |
752 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.zh-CN.vtt |
752 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.ar.vtt |
752 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.pt-BR.vtt |
753 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.pt-BR.vtt |
753 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.en.vtt |
754 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.en.vtt |
756 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.es-ES.vtt |
757 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.zh-CN.vtt |
759 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 08-Module 01-Lesson 07_Visualization Case Study/01. L7 011 Intro V1-Virihwp36do.pt-BR.vtt |
759 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.ja.vtt |
760 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.zh-CN.vtt |
761 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.pt-BR.vtt |
761 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.ja.vtt |
762 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.zh-CN.vtt |
763 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.en.vtt |
763 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.it.vtt |
764 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.pt-PT.vtt |
765 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/18. Doubles-On_Guw8wac8.ar.vtt |
765 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.it.vtt |
767 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 01-Lesson 01_The Data Science Process/01. Introduction-VpxATYHhKM8.pt-BR.vtt |
767 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.th.vtt |
768 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt |
768 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt |
769 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.pt-BR.vtt |
769 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 02_Hierarchical and Density Based Clustering/12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.zh-CN.vtt |
769 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 04_Decision Trees/13. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt |
771 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.th.vtt |
772 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.en.vtt |
772 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.pt-BR.vtt |
774 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/09. Data Types Summary-T-KrQoAJUpI.zh-CN.vtt |
775 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.es-ES.vtt |
775 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.th.vtt |
777 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.es-ES.vtt |
777 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.th.vtt |
779 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 13_Case Study AB tests/14. Analyzing Multiple Metrics-DtZghKNa7Ak.pt-BR.vtt |
780 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.zh-CN.vtt |
780 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/19. Congratulations!-_FPpbuuW-1o.en.vtt |
781 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.en.vtt |
782 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.ar.vtt |
783 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt |
785 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 02_Hierarchical and Density Based Clustering/12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.pt-BR.vtt |
786 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.zh-CN.vtt |
787 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.ar.vtt |
787 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.zh-CN.vtt |
787 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.en.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/13. Error Functions-YfUUunxWIJw.en.vtt |
790 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.en.vtt |
790 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.en.vtt |
790 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.en.vtt |
790 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.pt-BR.vtt |
792 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.hr.vtt |
792 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 02_Linear Regression/17. Absolute Vs Squared Error-csvdjaqt1GM.pt-BR.vtt |
793 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.pt-BR.vtt |
797 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.it.vtt |
797 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.en.vtt |
798 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.en.vtt |
799 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.ar.vtt |
799 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.pt-BR.vtt |
800 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.ar.vtt |
802 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.pt-BR.vtt |
802 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/13. Error Functions-YfUUunxWIJw.pt-BR.vtt |
804 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.en-GB.vtt |
804 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.pt-BR.vtt |
804 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.ja.vtt |
805 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 16-Module 01-Lesson 04_Machine Learning Pipelines/01. 01 Intro V1 V3-Zl_es7xtSqk.en.vtt |
806 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt |
806 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.ar.vtt |
807 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.pt-BR.vtt |
810 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt |
812 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-bgT8sWuV2lc.zh-CN.vtt |
812 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.ja.vtt |
813 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.th.vtt |
813 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt |
813 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt |
813 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 15-Module 01-Lesson 02_Software Engineering Practices Pt I/25. L2 21 Conclusion V1 V1-anPnokWZOZQ.en.vtt |
816 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.ar.vtt |
816 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 04_PCA/21. Outro-CuIqzL8HjI8.en.vtt |
817 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.es-ES.vtt |
817 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.zh-CN.vtt |
817 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.en.vtt |
818 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.ar.vtt |
819 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.ja.vtt |
819 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.pt-BR.vtt |
820 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.en.vtt |
821 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.ar.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.es-ES.vtt |
823 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/10. Training Optimization-UiGKhx9pUYc.en.vtt |
824 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.en.vtt |
824 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 03_SQL Aggregations/09. MIN MAX-1ewVsgWUih8.en.vtt |
824 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.pt-BR.vtt |
825 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.en.vtt |
826 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 08-Module 01-Lesson 05_Multivariate Exploration of Data/img/l5-c03-color5.png |
826 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.en.vtt |
826 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.zh-CN.vtt |
828 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.ja.vtt |
828 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/09. Data Types Summary-T-KrQoAJUpI.en.vtt |
828 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.ar.vtt |
829 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.pt-BR.vtt |
829 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 09-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.pt-BR.vtt |
830 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 02_Linear Regression/17. Absolute Vs Squared Error-csvdjaqt1GM.en.vtt |
831 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.it.vtt |
832 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.pt-BR.vtt |
834 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.ja.vtt |
835 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.en.vtt |
836 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/01. Introduction-2Y279421n3A.en.vtt |
836 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.es-ES.vtt |
837 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.it.vtt |
837 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.ar.vtt |
837 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.ar.vtt |
838 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 08-Module 01-Lesson 05_Multivariate Exploration of Data/img/l5-c03-color3.png |
839 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.en.vtt |
839 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt |
840 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/10. Training Optimization-UiGKhx9pUYc.zh-CN.vtt |
840 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 15-Module 01-Lesson 03_Software Engineering Practices Pt II/14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.pt-BR.vtt |
841 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/13. Two Coins 3-GO6kbL3QRBE.ja.vtt |
841 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 02_Hierarchical and Density Based Clustering/12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.en.vtt |
842 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 01_Machine Learning Bird's Eye View/01. Introduction-LcX-s-ujp7U.pt-BR.vtt |
844 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 08-Module 01-Lesson 05_Multivariate Exploration of Data/img/l5-c03-color4.png |
844 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.ar.vtt |
844 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-cDub-OOrIRE.es-ES.vtt |
845 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.ar.vtt |
845 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.ja.vtt |
846 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.ar.vtt |
847 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 17-Module 03-Lesson 01_Introduction to Recommendation Engines/02. Identifying Recommendation Engines-KwegrgvV-V4.en.vtt |
847 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 03_SQL Aggregations/09. MIN MAX-1ewVsgWUih8.pt-BR.vtt |
847 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.pt-BR.vtt |
848 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.zh-CN.vtt |
848 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.ar.vtt |
850 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.es-ES.vtt |
850 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.ar.vtt |
851 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/14. Performance Tuning Motivation-aY4_uYWEuoE.zh-CN.vtt |
852 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.hr.vtt |
854 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 01-Lesson 02_Communicating to Stakeholders/10. Three Steps To Captivate Your Audience-BWS3oQYS-c4.en.vtt |
855 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.en.vtt |
856 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 08-Module 01-Lesson 07_Visualization Case Study/07. L7 0F1 Congrats V3-LF-obnL7CI0.pt-BR.vtt |
859 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.ar.vtt |
861 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.zh-CN.vtt |
862 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.pt-BR.vtt |
864 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 17-Module 02-Lesson 03_AB Testing Case Study/14. Conclusion-2G6x3oQnjy4.en.vtt |
865 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.pt-BR.vtt |
866 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.it.vtt |
866 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-bgT8sWuV2lc.pt-BR.vtt |
867 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 15-Module 01-Lesson 02_Software Engineering Practices Pt I/20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.en.vtt |
867 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.en-GB.vtt |
868 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 3-oVGmi4zBOT8.zh-CN.vtt |
869 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-07vOaYwecII.es-ES.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 15-Module 01-Lesson 03_Software Engineering Practices Pt II/01. L2 2 01 Intro V1 V2-QO2GYq8q92E.pt-BR.vtt |
871 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.ja.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.en.vtt |
874 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 02_Deep Neural Networks/10. Training Optimization-UiGKhx9pUYc.pt-BR.vtt |
874 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/01. Introduction-2Y279421n3A.pt-BR.vtt |
879 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.en.vtt |
879 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.en.vtt |
879 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.es-ES.vtt |
880 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/01. Instructors Introduction-lIvm8urf4GE.zh-CN.vtt |
883 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.en.vtt |
883 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.pt-BR.vtt |
884 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 15_Multiple Linear Regression/26. Recap-VM6GGNC2q8I.en.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 16-Module 01-Lesson 02_ETL Pipelines/05. 05 Extraction Idea 1 V1 V2-4dKG_08zMm4.en.vtt |
885 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/01. Binomial-3koDdc9r73E.es-ES.vtt |
885 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.ar.vtt |
885 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.zh-CN.vtt |
886 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.ar.vtt |
886 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.es-ES.vtt |
886 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.ja.vtt |
887 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 12_Hypothesis Testing/16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.zh-CN.vtt |
887 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-8QEAYYIyopY.zh-CN.vtt |
888 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.pt-BR.vtt |
889 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/05. Confusion-Matrix-Solution-ywwSzyU9rYs.pt-BR.vtt |
889 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 12_Hypothesis Testing/32. Hypothesis Testing Conclusion-nQFchD4XPPs.zh-CN.vtt |
890 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 09-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.zh-CN.vtt |
892 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/33. Bayes' Rule and Robotics-meNSO42JF6I.zh-CN.vtt |
892 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.zh-CN.vtt |
893 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/01. Introduction to Data Cleaning-YTtH3NM2BX0.zh-CN.vtt |
893 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.ar.vtt |
894 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.ar.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.pt-BR.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.zh-CN.vtt |
896 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.en.vtt |
898 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.en.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.pt-BR.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.ar.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.ar.vtt |
900 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.es-ES.vtt |
900 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-bgT8sWuV2lc.en.vtt |
900 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.ar.vtt |
902 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.ja.vtt |
902 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 01-Lesson 02_Communicating to Stakeholders/10. Three Steps To Captivate Your Audience-BWS3oQYS-c4.pt-BR.vtt |
902 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.ar.vtt |
903 B |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.zh-CN.vtt |
905 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 16-Module 01-Lesson 04_Machine Learning Pipelines/23. 24 Conclusion V1 V2-Jq6pj_uKDmY.en.vtt |
905 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.en.vtt |
906 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 11_Confidence Intervals/16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.en.vtt |
906 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.zh-CN.vtt |
908 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.en.vtt |
908 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1--TBAfU1cjRU.th.vtt |
910 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.ja.vtt |
911 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/16. One Of Three 2-gGgqTGZ9TKg.zh-CN.vtt |
912 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.en.vtt |
913 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/03. What Is Coming Up-oDJsnQcCPr4.zh-CN.vtt |
913 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-9I8ysrRlmbA.zh-CN.vtt |
913 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.zh-CN.vtt |
914 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/17. Even Roll-DrnAR4SqlEE.pt-BR.vtt |
914 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.it.vtt |
915 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.ar.vtt |
916 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 03_Perceptron Algorithm/01. Perception Algorithm V2-ebIlG6Pqwas.zh-CN.vtt |
916 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 3-oVGmi4zBOT8.pt-BR.vtt |
917 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.en.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.en.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/img/codecogseqn-58.gif |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/09. Data Types Summary-T-KrQoAJUpI.pt-BR.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-58.gif |
919 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 09-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.pt-BR.vtt |
920 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 16-Module 01-Lesson 04_Machine Learning Pipelines/05. Machine Learning Workflow-0nA6oTIlwaA.en.vtt |
921 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/01. 01 Intro-4C4PuJANIdE.zh-CN.vtt |
922 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.ja.vtt |
923 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 04_PCA/21. Outro-CuIqzL8HjI8.pt-BR.vtt |
925 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.hr.vtt |
925 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/26. Why Are Sampling Distributions Important-aDFDOCJKoH0.zh-CN.vtt |
927 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.ar.vtt |
927 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 14-Module 01-Lesson 02_Communicating to Stakeholders/19. Conclusion-_ATzG6khLdk.en.vtt |
927 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.zh-CN.vtt |
928 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 03_Perceptron Algorithm/01. Perception Algorithm V2-ebIlG6Pqwas.pt-BR.vtt |
928 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/30. Sebastian At Home-TtmQ7YCw_1Y.zh-CN.vtt |
930 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-8QEAYYIyopY.pt-BR.vtt |
930 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.en.vtt |
931 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.zh-CN.vtt |
933 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.pt-BR.vtt |
933 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.pt-BR.vtt |
935 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.zh-CN.vtt |
935 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.pt-BR.vtt |
935 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 04_PCA/04. Latent Features-kYLcVgpEwGs.en.vtt |
937 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.pt-BR.vtt |
937 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 05_SQL Data Cleaning/01. Introduction to Data Cleaning-YTtH3NM2BX0.pt-BR.vtt |
937 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.pt-BR.vtt |
938 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 04-Module 01-Lesson 05_Random Projection and ICA/07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.en.vtt |
938 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 02_Linear Regression/03. Solution Housing Prices-uhdTulw9-Nc.en.vtt |
939 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 3-oVGmi4zBOT8.en.vtt |
940 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.en.vtt |
940 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/01. Introduction-SvdlBB-ZjcQ.en.vtt |
940 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.ar.vtt |
941 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.hr.vtt |
942 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/11. UNION 2-so5zydnbYEg.ar.vtt |
942 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.pt-BR.vtt |
944 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.zh-CN.vtt |
944 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.pt-BR.vtt |
944 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 06-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.en.vtt |
944 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/01. 01 Intro-4C4PuJANIdE.pt-BR.vtt |
945 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.it.vtt |
945 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 08_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.zh-CN.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 07_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.ar.vtt |
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| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt |
947 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 20-Module 01-Lesson 01_Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt |
947 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 10-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.zh-CN.vtt |
948 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.es-ES.vtt |
948 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.es-ES.vtt |
948 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.ja.vtt |
949 B |
| Udacity - Data Scientist Nanodegree nd025 v1.0.0/Part 12-Module 01-Lesson 04_Probability/01. Introduction to Probability-HeoQccoqfTk.zh-CN.vtt |
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Magnet link
