Lectures
Final Project
Assignments
Python
Books

Lectures

Math 398

Computational Setup

Python, uv, and Code Editors

Intro to Statistical Learning

Linear Regression

Classification

Classification

Logistic Regression

Resampling Methods

Regularization

Nonlinear Models

Generalized Additive Models

Tree-Based Methods

Bagging, Random Forests, and Boosting

Support Vector Machines

Survival Analysis

The Missing Statistics Semester

Data Science Edition

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