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This repository holds the code for the forthcoming book "Introduction to MachineLearning with Python" byAndreas Mueller andSarah Guido.You can find details about the book on theO'Reilly website.

The book requires the current stable version of scikit-learn, that is0.20.0. Most of the book can also be used with previous versions ofscikit-learn, though you need to adjust the import for everything from themodel_selection module, mostlycross_val_score,train_test_splitandGridSearchCV.

This repository provides the notebooks from which the book is created, togetherwith themglearn library of helper functions to create figures anddatasets.

For the curious ones, the cover depicts ahellbender.

All datasets are included in the repository, with the exception of the aclImdb dataset, which you can download fromthe page ofAndrew Maas. See the book for details.

If you getImportError: No module named mglearn you can try to install mglearn into your python environment usingthe commandpip install mglearn in your terminal or!pip install mglearn in Jupyter Notebook.

Please note that the first print of the book is missing the following line when listing the assumed imports:

fromIPython.displayimportdisplay

Please add this line if you see an error involvingdisplay.

The first print of the book used a function calledplot_group_kfold.This has been renamed toplot_label_kfold because of a rename inscikit-learn.

To run the code, you need the packagesnumpy,scipy,scikit-learn,matplotlib,pandas andpillow.Some of the visualizations of decision trees and neural networks structures also requiregraphviz. The chapteron text processing also requiresnltk andspacy.

The easiest way to set up an environment is by installingAnaconda.

If you already have a Python environment set up, and you are using theconda package manager, you can get all packages by running

conda install numpy scipy scikit-learn matplotlib pandas pillow graphviz python-graphviz

For the chapter on text processing you also need to installnltk andspacy:

conda install nltk spacy

If you already have a Python environment and are using pip to install packages, you need to run

pip install numpy scipy scikit-learn matplotlib pandas pillow graphviz

You also need to install the graphiz C-library, which is easiest using a package manager.If you are using OS X and homebrew, you canbrew install graphviz. If you are on Ubuntu or debian, you canapt-get install graphviz.Installing graphviz on Windows can be tricky and using conda / anaconda is recommended.For the chapter on text processing you also need to installnltk andspacy:

pip install nltk spacy

For the text processing chapter, you need to download the English language model for spacy using

python -m spacy download en

If you have errata for the (e-)book, please submit them via theO'Reilly Website.You can submit fixes to the code as pull-requests here, but I'd appreciate it if you would also submit them there, as this repository doesn't hold the"master notebooks".