Packt Step by Step Machine Learning with Python

1. 1 - Getting Started with Python and Machine Learning/Installing Software and Setting Up.mp422.01MB
2. 1 - Getting Started with Python and Machine Learning/Introduction to Machine Learning.mp413.02MB
3. 1 - Getting Started with Python and Machine Learning/The Course Overview.mp417.18MB
4. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Clustering.mp410.44MB
5. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Data Preprocessing.mp49.15MB
6. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Getting the Newsgroups Data.mp414.1MB
7. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Machine Learning with Python.mp41.61MB
8. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Thinking about Features.mp420.34MB
9. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Topic Modeling.mp413.04MB
10. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Touring Powerful NLP Libraries in Python.mp440.29MB
11. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Understanding NLP.mp415.97MB
12. 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Visualization.mp411.53MB
13. 3 - Spam Email Detection with Naïve Bayes#/Classifier Performance Evaluation.mp436.98MB
14. 3 - Spam Email Detection with Naïve Bayes#/Exploring Naïve Bayes.mp45.1MB
15. 3 - Spam Email Detection with Naïve Bayes#/Getting Started with Classification.mp48.76MB
16. 3 - Spam Email Detection with Naïve Bayes#/Model Tuning and cross-validation.mp418.26MB
17. 3 - Spam Email Detection with Naïve Bayes#/The Mechanics of Naïve Bayes.mp47.33MB
18. 3 - Spam Email Detection with Naïve Bayes#/The Naïve Bayes Implementation.mp457.36MB
19. 4 - News Topic Classification with Support Vector Machine/Choosing Between the Linear and the RBF Kernel.mp414.21MB
20. 4 - News Topic Classification with Support Vector Machine/Fetal State Classification with SVM.mp421.84MB
21. 4 - News Topic Classification with Support Vector Machine/News topic Classification with Support Vector Machine.mp436.37MB
22. 4 - News Topic Classification with Support Vector Machine/Recap and Inverse Document Frequency.mp416.63MB
23. 4 - News Topic Classification with Support Vector Machine/The Implementations of SVM.mp419.68MB
24. 4 - News Topic Classification with Support Vector Machine/The Kernels of SVM.mp411.79MB
25. 4 - News Topic Classification with Support Vector Machine/The Mechanics of SVM.mp49.16MB
26. 5 - Click-Through Prediction with Tree-Based Algorithms/Brief Overview of Advertising Click-Through Prediction.mp411MB
27. 5 - Click-Through Prediction with Tree-Based Algorithms/Click-Through Prediction with Decision Tree.mp424.99MB
28. 5 - Click-Through Prediction with Tree-Based Algorithms/Decision Tree Classifier.mp436.69MB
29. 5 - Click-Through Prediction with Tree-Based Algorithms/Random Forest - Feature Bagging of Decision Tree.mp418.28MB
30. 5 - Click-Through Prediction with Tree-Based Algorithms/The Implementations of Decision Tree.mp422.81MB
31. 6 - Click-Through Prediction with Logistic Regression#/Click-Through Prediction with Logistic Regression by Gradient Descent.mp475.32MB
32. 6 - Click-Through Prediction with Logistic Regression#/Feature Selection via Random Forest.mp416.04MB
33. 6 - Click-Through Prediction with Logistic Regression#/Logistic Regression Classifier.mp437.4MB
34. 6 - Click-Through Prediction with Logistic Regression#/One-Hot Encoding - Converting Categorical Features to Numerical.mp421.42MB
35. 7 - Stock Price Prediction with Regression Algorithms/Brief Overview of the Stock Market And Stock Price.mp47.05MB
36. 7 - Stock Price Prediction with Regression Algorithms/Data Acquisition and Feature Generation.mp412.29MB
37. 7 - Stock Price Prediction with Regression Algorithms/Decision Tree Regression.mp427.45MB
38. 7 - Stock Price Prediction with Regression Algorithms/Linear Regression.mp430.28MB
39. 7 - Stock Price Prediction with Regression Algorithms/Machine Learning with Python.mp41.61MB
40. 7 - Stock Price Prediction with Regression Algorithms/Predicting Stock Price with Regression Algorithms.mp424.42MB
41. 7 - Stock Price Prediction with Regression Algorithms/Regression Performance Evaluation.mp412.72MB
42. 7 - Stock Price Prediction with Regression Algorithms/Stock Price Prediction with Regression Algorithms.mp434.23MB
43. 7 - Stock Price Prediction with Regression Algorithms/Support Vector Regression.mp48.09MB
44. 8 - Best Practices/Best Practices in Data Preparation Stage.mp431.86MB
45. 8 - Best Practices/Best Practices in the Deployment and Monitoring Stage.mp413.9MB
46. 8 - Best Practices/Best Practices in the Model Training, Evaluation, and Selection Stage.mp410.84MB
47. 8 - Best Practices/Best Practices in the Training Sets Generation Stage.mp420.46MB