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