SDS 323: Statistical Learning and Inference – Fall 2020

SDS 323: Statistical Learning and Inference – Fall 2020

Overview
Materials
About

0. Introduction and Prerequisites

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: Introduction

Slides: Probability Review

Slides: Overview Statistical Learning

Lab 0: Introduction

1. Linear Regression

© 2020 Giorgio Paulon