| Packt.Step.by.Step.Machine.Learning.with.Python/1 - Getting Started with Python and Machine Learning/Installing Software and Setting Up.mp4 |
22 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/1 - Getting Started with Python and Machine Learning/Introduction to Machine Learning.mp4 |
13 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/1 - Getting Started with Python and Machine Learning/The Course Overview.mp4 |
17.2 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Clustering.mp4 |
10.4 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Data Preprocessing.mp4 |
9.1 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Getting the Newsgroups Data.mp4 |
14.1 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Machine Learning with Python.mp4 |
1.6 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Thinking about Features.mp4 |
20.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Topic Modeling.mp4 |
13 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Touring Powerful NLP Libraries in Python.mp4 |
40.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Understanding NLP.mp4 |
16 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Visualization.mp4 |
11.5 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/3 - Spam Email Detection with Naïve Bayes#/Classifier Performance Evaluation.mp4 |
37 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/3 - Spam Email Detection with Naïve Bayes#/Exploring Naïve Bayes.mp4 |
5.1 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/3 - Spam Email Detection with Naïve Bayes#/Getting Started with Classification.mp4 |
8.8 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/3 - Spam Email Detection with Naïve Bayes#/Model Tuning and cross-validation.mp4 |
18.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/3 - Spam Email Detection with Naïve Bayes#/The Mechanics of Naïve Bayes.mp4 |
7.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/3 - Spam Email Detection with Naïve Bayes#/The Naïve Bayes Implementation.mp4 |
57.4 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/4 - News Topic Classification with Support Vector Machine/Choosing Between the Linear and the RBF Kernel.mp4 |
14.2 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/4 - News Topic Classification with Support Vector Machine/Fetal State Classification with SVM.mp4 |
21.8 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/4 - News Topic Classification with Support Vector Machine/News topic Classification with Support Vector Machine.mp4 |
36.4 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/4 - News Topic Classification with Support Vector Machine/Recap and Inverse Document Frequency.mp4 |
16.6 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/4 - News Topic Classification with Support Vector Machine/The Implementations of SVM.mp4 |
19.7 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/4 - News Topic Classification with Support Vector Machine/The Kernels of SVM.mp4 |
11.8 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/4 - News Topic Classification with Support Vector Machine/The Mechanics of SVM.mp4 |
9.2 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/5 - Click-Through Prediction with Tree-Based Algorithms/Brief Overview of Advertising Click-Through Prediction.mp4 |
11 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/5 - Click-Through Prediction with Tree-Based Algorithms/Click-Through Prediction with Decision Tree.mp4 |
25 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/5 - Click-Through Prediction with Tree-Based Algorithms/Decision Tree Classifier.mp4 |
36.7 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/5 - Click-Through Prediction with Tree-Based Algorithms/Random Forest - Feature Bagging of Decision Tree.mp4 |
18.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/5 - Click-Through Prediction with Tree-Based Algorithms/The Implementations of Decision Tree.mp4 |
22.8 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/6 - Click-Through Prediction with Logistic Regression#/Click-Through Prediction with Logistic Regression by Gradient Descent.mp4 |
75.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/6 - Click-Through Prediction with Logistic Regression#/Feature Selection via Random Forest.mp4 |
16 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/6 - Click-Through Prediction with Logistic Regression#/Logistic Regression Classifier.mp4 |
37.4 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/6 - Click-Through Prediction with Logistic Regression#/One-Hot Encoding - Converting Categorical Features to Numerical.mp4 |
21.4 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Brief Overview of the Stock Market And Stock Price.mp4 |
7.1 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Data Acquisition and Feature Generation.mp4 |
12.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Decision Tree Regression.mp4 |
27.4 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Linear Regression.mp4 |
30.3 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Machine Learning with Python.mp4 |
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| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Predicting Stock Price with Regression Algorithms.mp4 |
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| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Regression Performance Evaluation.mp4 |
12.7 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Stock Price Prediction with Regression Algorithms.mp4 |
34.2 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/7 - Stock Price Prediction with Regression Algorithms/Support Vector Regression.mp4 |
8.1 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/8 - Best Practices/Best Practices in Data Preparation Stage.mp4 |
31.9 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/8 - Best Practices/Best Practices in the Deployment and Monitoring Stage.mp4 |
13.9 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/8 - Best Practices/Best Practices in the Model Training, Evaluation, and Selection Stage.mp4 |
10.8 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/8 - Best Practices/Best Practices in the Training Sets Generation Stage.mp4 |
20.5 MB |
| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/.ropeproject/config.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/.ropeproject/globalnames |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/.ropeproject/objectdb |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/0_getting.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/1histogram.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/2clean_words.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/3post_clustering.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 02/4topic_model.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 03/.DS_Store |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 03/email_spam.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 04/.DS_Store |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 04/1email_spam_tfidf_submit.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 04/2topic_categorization.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 04/4ctg.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 04/CTG.xls |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 05/.DS_Store |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 05/1decision_tree_submit.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 06/1one_hot_encode.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 06/3logistic_regression_from_scratch.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 06/4random_forest_feature_selection.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 06/5scikit_logistic_regression.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 07/.DS_Store |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 07/198810101_20151231.csv |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 07/1stock_price_prediction.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 07/20051201_20151210.csv |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 07/2linear_regression.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 07/3decision_tree_regression.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 07/4support_vector_regression.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 08/4generic_feature_engineering.py |
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| Packt.Step.by.Step.Machine.Learning.with.Python/V09050_Code/V09050_Code/Section 08/5save_reuse_monitor_model.py |
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