- 01. Why Feature Selection?
- 02. A New Enron Feature
- 03. A New Enron Feature Quiz
- 04. Visualizing Your New Feature
- 05. Beware of Feature Bugs!
- 06. Example: Buggy Feature
- 07. Getting Rid of Features
- 08. Features != Information
- 09. Univariate Feature Selection
- 10. Feature Selection in TfIdf Vectorizer
- 11. Bias, Variance, and Number of Features
- 12. Bias, Variance & Number of Features Pt 2
- 13. Overfitting by Eye
- 14. Balancing Error with Number of Features
- 15. Regularization
- 16. Lasso Regression
- 17. Lasso Code Quiz
- 18. Lasso Prediction with sklearn Quiz
- 19. Lasso Coefficients with sklearn Quiz
- 20. Using Lasso in sklearn Quiz
- 21. Feature Selection Mini-Project Video
- 22. Feature Selection Mini-Project
- 23. Overfitting a Decision Tree 1
- 24. Overfitting a Decision Tree 2
- 25. Number of Features and Overfitting
- 26. Accuracy of Your Overfit Decision Tree
- 27. Identify the Most Powerful Features
- 28. Use TfIdf to Get the Most Important Word
- 29. Remove, Repeat
- 30. Checking Important Features Again
- 31. Accuracy of the Overfit Tree