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
