| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/01 Introduction and Review/001 Introduction and Outline.mp4 |
7.6 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/01 Introduction and Review/002 Review of Important Concepts.mp4 |
6 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/01 Introduction and Review/003 Where to get the Code and Data.mp4 |
3.9 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/01 Introduction and Review/004 How to Succeed in this Course.mp4 |
8.8 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 |
8.6 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 |
18 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 |
7.7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/02 K-Nearest Neighbor/008 KNN for the XOR Problem.mp4 |
4.3 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/02 K-Nearest Neighbor/009 KNN for the Donut Problem.mp4 |
5.4 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 |
15.7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/03 Naive Bayes and Bayes Classifiers/011 Naive Bayes Handwritten Example.mp4 |
5.8 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 |
14.4 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/03 Naive Bayes and Bayes Classifiers/013 Non-Naive Bayes.mp4 |
7.3 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/03 Naive Bayes and Bayes Classifiers/014 Bayes Classifier in Code with MNIST.mp4 |
4.4 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 |
10.3 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/03 Naive Bayes and Bayes Classifiers/016 Generative vs Discriminative Models.mp4 |
5.1 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/04 Decision Trees/017 Decision Tree Basics.mp4 |
8.3 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/04 Decision Trees/018 Information Entropy.mp4 |
7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/04 Decision Trees/019 Maximizing Information Gain.mp4 |
14 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/04 Decision Trees/020 Choosing the Best Split.mp4 |
6.7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/04 Decision Trees/021 Decision Tree in Code.mp4 |
30.3 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/05 Perceptrons/022 Perceptron Concepts.mp4 |
12.2 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/05 Perceptrons/023 Perceptron in Code.mp4 |
13.8 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 |
8.7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/05 Perceptrons/025 Perceptron Loss Function.mp4 |
6.9 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/06 Practical Machine Learning/026 Hyperparameters and Cross-Validation.mp4 |
7.4 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/06 Practical Machine Learning/027 Feature Extraction and Feature Selection.mp4 |
7.1 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 |
8.7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/06 Practical Machine Learning/029 Multiclass Classification.mp4 |
5.7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/06 Practical Machine Learning/030 Sci-Kit Learn.mp4 |
15.8 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 |
10.7 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/07 Building a Machine Learning Web Service/032 Building a Machine Learning Web Service Concepts.mp4 |
7.2 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 |
11.9 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/08 Conclusion/034 Whats Next Support Vector Machines and Ensemble Methods e.g. Random Forest.mp4 |
6.3 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 |
43.9 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/09 Appendix/036 How to Code by Yourself part 1.mp4 |
24.5 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/09 Appendix/037 How to Code by Yourself part 2.mp4 |
14.8 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/09 Appendix/038 Where to get Udemy coupons and FREE deep learning material.mp4 |
4 MB |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/[FreeTutorials.Us].txt |
75 B |
| [FreeTutorials.Us] data-science-supervised-machine-learning-in-python/Freetutorials.Us.url |
119 B |
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