The current course materials include ...
| Precursors: |
| Introduction to Statistical Learning: |
| Linear Regression: |
| Classification: |
| Resampling Methods: |
| Linear Model Selection and Regularization: |
| Moving Beyond Linearity: |
| Tree-Based Methods: |
| Support Vector Machines: |
| Unsupervised Learning: |
| Neural Networks and Genetic Algorithms: |