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Merge pull request #159 from Cyebukayire/master
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README.md

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@@ -6,7 +6,7 @@ This repository holds the code for the forthcoming book "Introduction to Machine
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Learning with Python" by [Andreas Mueller](http://amueller.io) and [Sarah Guido](https://twitter.com/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 stable version of scikit-learn, that is
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The book requires the current stable version of scikit-learn, that is
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0.20.0. 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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To run the code, you need the packages ``numpy``, ``scipy``, ``scikit-learn``, ``matplotlib``, ``pandas`` and ``pillow``.
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Some of the visualizations of decision trees and neural networks structures also require ``graphviz``. The chapter
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on text processing also requirs ``nltk`` and ``spacy``.
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on text processing also requires ``nltk`` and ``spacy``.
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The easiest way to set up an environment is by installing [Anaconda](https://www.continuum.io/downloads).
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