SDS 323: Statistical Learning and Inference – Fall 2020
Overview
Materials
About
3. Resampling 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: Resampling Methods
Lab 3: Resampling Methods
2. Classification
4. Model Selection and Regularization
