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7. Feature Engineering.mp4 159M
8. Turning Data Into Numbers.mp4 146M
20. Feature Importance.mp4 142M
18. Preproccessing Our Data.mp4 139M
5. Exploring Our Data.mp4 138M
9. Filling Missing Numerical Values.mp4 106M
14. Custom Evaluation Function.mp4 103M
3. Project Environment Setup.mp4 101M
15. Reducing Data.mp4 93M
16. RandomizedSearchCV.mp4 86M
4. Step 1~4 Framework Setup.mp4 86M
12. Splitting Data.mp4 83M
17. Improving Hyperparameters.mp4 79M
19. Making Predictions.mp4 79M
10. Filling Missing Categorical Values.mp4 67M
11. Fitting A Machine Learning Model.mp4 56M
6. Exploring Our Data 2.mp4 52M
2. Project Overview.mp4 33M
1. Section Overview.mp4 9.0M
8. Turning Data Into Numbers.srt 22K
7. Feature Engineering.srt 22K
5. Exploring Our Data.srt 20K
18. Preproccessing Our Data.srt 18K
20. Feature Importance.srt 17K
9. Filling Missing Numerical Values.srt 17K
14. Custom Evaluation Function.srt 16K
3. Project Environment Setup.srt 16K
15. Reducing Data.srt 15K
12. Splitting Data.srt 14K
16. RandomizedSearchCV.srt 13K
4. Step 1~4 Framework Setup.srt 12K
19. Making Predictions.srt 11K
10. Filling Missing Categorical Values.srt 11K
17. Improving Hyperparameters.srt 11K
11. Fitting A Machine Learning Model.srt 10K
6. Exploring Our Data 2.srt 8.6K
2. Project Overview.srt 6.7K
1. Section Overview.srt 1.8K
13. Challenge What's wrong with splitting data after filling it.html 1.5K
20.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html 214
2.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html 214
20.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html 208
2.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html 208
2.4 Structured Data Projects on GitHub.html 155
9.1 Pandas Categorical Datatype Documentation.html 143
2.3 Kaggle Bluebook for Bulldozers Competition.html 118