SDS 323: Statistical Learning and Inference – Fall 2020
Overview
Materials
About
6. Tree Based Methods
Materials
0. Introduction and Prerequisites
1. Linear Regression
2. Classification
3. Resampling Methods
4. Model Selection and Regularization
5. Beyond Linearity
6. Tree Based Methods
7. Unsupervised Learning
8. Special Topics
Slides: Tree Based Methods I
Slides: Tree Based Methods II
Lab 6: Tree Based Methods
5. Beyond Linearity
7. Unsupervised Learning
