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README.md

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# introduction_to_ml_with_python
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Notebooks and code for the book "Introduction to Machine Learning with Python"
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# Introduction to Machine Learning with Python
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This repository holds the code for the forthcomming book "Introduction to Machine
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Learning with Python" by Andreas Mueller and Sarah Guido.
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You can find details about the book on the [O'Reilly website](http://shop.oreilly.com/product/0636920030515.do>).
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The books requires the current development version of scikit-learn, that is
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0.18-dev. Most of the book can also be used with previous versions of
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scikit-learn, though you need to adjust the import for everything from the
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``model_selection`` module, mostly ``cross_val_score``, ``train_test_split``
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and ``GridSearchCV``.
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This repository provides the notebooks from which the book is created, together
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with the ``mglearn`` library of helper functions to create figures and
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datasets.
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For the curious ones, the cover depicts a [hellbender](https://en.wikipedia.org/wiki/Hellbender)
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![cover](cover.jpg)

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