Preface
Intro to Machine Learning — Course Notes
Preface
1
Why study machine learning?
2
Tabular data and summary statistics with pandas
3
Selecting and filtering data with pandas
4
Typology of ML methods
5
First model and model selection/evaluation with scikit-learn
6
Preprocessing: scaling and encoding
7
Linear models for regression
8
The bias-variance trade-off
Table of contents
Preface
Intro to Machine Learning — Course Notes
Author
Charles Truong
Published
October 19, 2026
Preface
These are the class notes for
Intro to Machine Learning
(Fall 2026).
1
Why study machine learning?