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4. Types of Machine Learning Problems.mp4 60M
11. Modelling - Comparison.mp4 45M
7. Features In Data.mp4 37M
5. Types of Data.mp4 29M
8. Modelling - Splitting Data.mp4 28M
14. Tools We Will Use.mp4 27M
3. 6 Step Machine Learning Framework.mp4 23M
9. Modelling - Picking the Model.mp4 23M
13. Experimentation.mp4 21M
6. Types of Evaluation.mp4 18M
10. Modelling - Tuning.mp4 16M
1. Section Overview.mp4 13M
2. Introducing Our Framework.mp4 11M
4. Types of Machine Learning Problems.srt 14K
11. Modelling - Comparison.srt 13K
8. Modelling - Splitting Data.srt 7.7K
7. Features In Data.srt 6.8K
3. 6 Step Machine Learning Framework.srt 6.6K
5. Types of Data.srt 6.5K
9. Modelling - Picking the Model.srt 6.2K
14. Tools We Will Use.srt 6.0K
13. Experimentation.srt 5.0K
10. Modelling - Tuning.srt 4.9K
1. Section Overview.srt 4.7K
6. Types of Evaluation.srt 4.3K
2. Introducing Our Framework.srt 3.7K
12. Overfitting and Underfitting Definitions.html 1.7K
15. Optional Elements of AI.html 1.0K
3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).html 147