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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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+
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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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+
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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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+
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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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+
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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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