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2. Statistical Learning
3. Linear Regression
4. Logistic Regression
5. Resampling Methods
6. Linear Model Selection and Regularization
7. Moving Beyond Linearity
8. Tree-Based Methods
9. Support Vector Machines
10. Unsupervised Learning
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islr
notes and exercises from An Introduction to Statistical Learning
9. Support Vector Machines
Conceptual Exercises
Exercise 1
Exercise 2
Exercise 3