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2026 MSU Physics and Astronomy Short Course on Machine Learning

Logistics

Getting Started
Setting Up Your Python Environment
Detailed Schedule
Lecture Slides
Using this book

Prerequisites

Python Basics Review

Class Activities

Day 01: Exploring data with pandas
Day 02: Using KNN to classify objects with sklearn and pandas
Day 03: Performing Regression with scikit-learn
Day 04: Modeling Project

Solutions

Day 01: Exploring data with pandas - solution
Day 02: Using KNN to classify objects with sklearn and pandas - solution
Day 03: Performing Regression with scikit-learn - solution

Notes: Day 2 — Classification

Methods and Model Validation
Support Vector Machines

Notes: Day 3 — Regression & Visualization

The Importance of Visualization

Notes: Day 4 — Model Improvement

Cross-Validation of your models
Reverse Feature Elimination
Principal Component Analysis (PCA)

.md

Lecture Slides

Contents

Day 00 — Introduction to the Course
Day 01 — Exploring Data with pandas

Lecture Slides#

Click any preview to download the PDF.

Day 00 — Introduction to the Course#

Day 01 — Exploring Data with `pandas`#

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Detailed Schedule

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Using this book

Contents

Day 00 — Introduction to the Course
Day 01 — Exploring Data with pandas

By Danny Caballero, Morten Hjorth-Jensen, Julie Butler, Jane Kim, Alia Valentine

© Copyright 2021-2026, Michigan State University.