This repository provides the code and notebooks for the O’Reilly book Introduction to Machine Learning with Python by Andreas Mueller and Sarah Guido. It teaches fundamental ML concepts and techniques using scikit-learn, covering topics like model selection, cross-validation, and grid search. The repository includes the mglearn helper library for creating figures and datasets, along with all necessary datasets for running the examples.