Recap: All in One

<aside> 📌 Online Version: https://share.goodnotes.com/s/tS1Ra0PuRUMyIKgEwuZwt6

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[SL] Recap.pdf

Slide

0_course-intro.pdf

0_sl-intro.pdf

1-linear_regression.pdf

2-cross_validation.pdf

3-model_selection.pdf

4-regularization.pdf

5-dimension_reduction.pdf

6-classification1-bayes-KNN.pdf

7-classification2-logistic-regression.pdf

8-classification3-LDA.pdf

9-tree-based-methods.pdf

10-unsupervised-learning.pdf

11-ann.pdf

12-exercises-classification.pdf

13-exercises-tree-based-methods.pdf

14-exercises-unsupervised-learning.pdf