https://github.com/amueller/introduction_to_ml_with_python

Jupyter Notebook
Notebooks and code for the book "Introduction to Machine Learning with Python"

Introduction to Machine Learning with Python

This repository holds the code for the forthcomming book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido. You can find details about the book on the O'Reilly website.

The books requires the current development version of scikit-learn, that is 0.18-dev. Most of the book can also be used with previous versions of scikit-learn, though you need to adjust the import for everything from the model_selection module, mostly cross_val_score, train_test_split and GridSearchCV.

This repository provides the notebooks from which the book is created, together with the mglearn library of helper functions to create figures and datasets.

For the curious ones, the cover depicts a hellbender