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46. Putting It All Together 2.mp4 2024-07-08 19:05 117M
39. Tuning Hyperparameters.mp4 2024-07-08 19:05 176M
12. Getting Your Data Ready Handling Missing Values With Pandas.mp4 2024-07-08 19:04 105M
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11. Getting Your Data Ready Convert Data To Numbers.srt 2024-07-08 19:04 23K
11. Getting Your Data Ready Convert Data To Numbers.mp4 2024-07-08 19:04 135M
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21. Making Predictions With Our Model.srt 2024-07-08 19:02 67M
14. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 2024-07-08 19:01 137M
4. Refresher What Is Machine Learning.mp4 2024-07-08 19:00 88M
7. Typical scikit-learn Workflow.mp4 2024-07-08 19:00 190M
38. Improving A Machine Learning Model.mp4 2024-07-08 18:58 91M
41. Tuning Hyperparameters 3.mp4 2024-07-08 18:57 122M
9. Getting Your Data Ready Splitting Your Data.mp4 2024-07-08 18:56 64M
8. Optional Debugging Warnings In Jupyter.srt 2024-07-08 18:56 26K
8. Optional Debugging Warnings In Jupyter.mp4 2024-07-08 18:56 176M
30. Evaluating A Classification Model 5 (Confusion Matrix).mp4 2024-07-08 18:56 64M
29. Evaluating A Classification Model 4 (Confusion Matrix).srt 2024-07-08 18:56 15K
29. Evaluating A Classification Model 4 (Confusion Matrix).mp4 2024-07-08 18:56 78M
3. Quick Note Upcoming Video.html 2024-07-08 18:56 390
26. Evaluating A Classification Model 1 (Accuracy).mp4 2024-07-08 18:55 31M
25. Evaluating A Machine Learning Model 2 (Cross Validation).srt 2024-07-08 18:55 17K
25. Evaluating A Machine Learning Model 2 (Cross Validation).mp4 2024-07-08 18:55 96M
23. Making Predictions With Our Model (Regression).mp4 2024-07-08 18:55 45M
15. Choosing The Right Model For Your Data.mp4 2024-07-08 18:54 143M
19. Choosing The Right Model For Your Data 3 (Classification).mp4 2024-07-08 18:53 119M
16. Choosing The Right Model For Your Data 2 (Regression).mp4 2024-07-08 18:51 87M
34. Evaluating A Regression Model 3 (MSE).mp4 2024-07-08 18:49 55M
37. Evaluating A Model With Scikit-learn Functions.mp4 2024-07-08 18:47 95M
45. Putting It All Together.mp4 2024-07-08 18:47 158M
24. Evaluating A Machine Learning Model (Score).mp4 2024-07-08 18:45 87M
31. Evaluating A Classification Model 6 (Classification Report).mp4 2024-07-08 18:43 87M
40. Tuning Hyperparameters 2.mp4 2024-07-08 18:42 117M
20. Fitting A Model To The Data.mp4 2024-07-08 18:40 57M
21. Making Predictions With Our Model.mp4 2024-07-08 18:38 67M
27. Evaluating A Classification Model 2 (ROC Curve).mp4 2024-07-08 18:38 66M
36. Evaluating A Model With Cross Validation and Scoring Parameter.mp4 2024-07-08 18:31 92M
28. Evaluating A Classification Model 3 (ROC Curve).srt 2024-07-08 18:31 10K
28. Evaluating A Classification Model 3 (ROC Curve).mp4 2024-07-08 18:31 51M
32. Evaluating A Regression Model 1 (R2 Score).mp4 2024-07-08 18:30 70M
43. Saving And Loading A Model.mp4 2024-07-08 18:29 53M
2. Scikit-learn Introduction.mp4 2024-07-08 18:25 41M
10. Quick Tip Clean, Transform, Reduce.mp4 2024-07-08 18:23 17M
1. Section Overview.srt 2024-07-08 18:23 4.1K
1. Section Overview.mp4 2024-07-08 18:23 12M
22. predict() vs predict_proba().mp4 2024-07-08 18:20 54M
42. Quick Tip Correlation Analysis.mp4 2024-07-08 18:16 17M
44. Saving And Loading A Model 2.mp4 2024-07-08 18:14 57M
31. Evaluating A Classification Model 6 (Classification Report).srt 2024-07-08 18:14 15K
40. Tuning Hyperparameters 2.srt 2024-07-08 18:11 17K
23. Making Predictions With Our Model (Regression).srt 2024-07-08 18:08 9.1K
10. Quick Tip Clean, Transform, Reduce.srt 2024-07-08 18:08 6.4K
20. Fitting A Model To The Data.srt 2024-07-08 18:06 9.3K
45. Putting It All Together.srt 2024-07-08 17:54 26K
18. Quick Tip How ML Algorithms Work.mp4 2024-07-08 17:51 11M
17. Quick Note Decision Trees.html 2024-07-08 17:51 221
16. Choosing The Right Model For Your Data 2 (Regression).srt 2024-07-08 17:51 12K
19. Choosing The Right Model For Your Data 3 (Classification).srt 2024-07-08 17:49 17K
14. Getting Your Data Ready Handling Missing Values With Scikit-learn.srt 2024-07-08 17:43 23K
33. Evaluating A Regression Model 2 (MAE).mp4 2024-07-08 17:42 29M
32. Evaluating A Regression Model 1 (R2 Score).srt 2024-07-08 17:41 12K
42. Quick Tip Correlation Analysis.srt 2024-07-08 15:56 3.1K
6. Scikit-learn Cheatsheet.mp4 2024-07-08 14:44 75M
24. Evaluating A Machine Learning Model (Score).srt 2024-07-08 14:43 13K
22. predict() vs predict_proba().srt 2024-07-08 14:41 12K
36. Evaluating A Model With Cross Validation and Scoring Parameter.srt 2024-07-08 14:33 18K
38. Improving A Machine Learning Model.srt 2024-07-08 14:33 15K
4. Refresher What Is Machine Learning.srt 2024-07-08 14:32 6.3K
15. Choosing The Right Model For Your Data.srt 2024-07-08 14:29 21K
15.1 Scikit-Learn machine learning map (how to choose the right machine learning model).html 2024-07-08 14:29 133
13. Note Correction in the upcoming video (splitting data).html 2024-07-08 14:22 2.2K
12. Getting Your Data Ready Handling Missing Values With Pandas.srt 2024-07-08 14:22 17K
47. Scikit-Learn Practice.html 2024-07-08 14:18 2.1K
46. Putting It All Together 2.srt 2024-07-08 14:18 16K
46.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html 2024-07-08 14:18 191
46.1 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html 2024-07-08 14:18 197
5. Quick Note Upcoming Videos.html 2024-07-08 14:18 1.0K
9. Getting Your Data Ready Splitting Your Data.srt 2024-07-08 14:17 12K
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9.1 scikit-learn-data.zip 2024-07-08 14:17 21K
27. Evaluating A Classification Model 2 (ROC Curve).srt 2024-07-08 14:17 12K
18. Quick Tip How ML Algorithms Work.srt 2024-07-08 14:10 1.9K
37. Evaluating A Model With Scikit-learn Functions.srt 2024-07-08 14:07 16K
30. Evaluating A Classification Model 5 (Confusion Matrix).srt 2024-07-08 14:04 11K
33. Evaluating A Regression Model 2 (MAE).srt 2024-07-08 14:03 5.7K
41. Tuning Hyperparameters 3.srt 2024-07-08 14:02 19K
35. Machine Learning Model Evaluation.html 2024-07-08 13:58 7.1K
34. Evaluating A Regression Model 3 (MSE).srt 2024-07-08 13:58 9.2K
43. Saving And Loading A Model.srt 2024-07-08 13:55 9.8K
6. Scikit-learn Cheatsheet.srt 2024-07-08 13:55 10K
6.1 Scikit-Learn Reference Notebook.html 2024-07-08 13:55 194
2. Scikit-learn Introduction.srt 2024-07-08 13:54 11K
2.3 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html 2024-07-08 13:54 191
2.2 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html 2024-07-08 13:54 197
2.1 Scikit-Learn Documentation.html 2024-07-08 13:54 108
26. Evaluating A Classification Model 1 (Accuracy).srt 2024-07-08 13:52 5.9K
7. Typical scikit-learn Workflow.srt 2024-07-08 13:39 32K
7.1 Example Scikit-Learn Workflow Notebook.html 2024-07-08 13:39 192
39. Tuning Hyperparameters.srt 2024-07-08 13:32 31K
44. Saving And Loading A Model 2.srt 2024-07-08 13:31 9.0K