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Advanced Machine Learning with Python

You're reading from   Advanced Machine Learning with Python Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781784398637
Length 278 pages
Edition 1st Edition
Languages
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Toc

Appendix A. Chapter Code Requirements

This book's content leverages openly available data and code, including open source Python libraries and frameworks. While each chapter's example code is accompanied by a README file documenting all the libraries required to run the code provided in that chapter's accompanying scripts, the content of these files is collated here for your convenience.

It is recommended that you already have some libraries that are required for the earlier chapters when working with code from any later chapter. These requirements are identified using keywords. It is particularly important to set up the libraries mentioned in Chapter 1, Unsupervised Machine Learning, for any content provided later in the book. The requirements for every chapter are given in the following table:

Chapter Number

Requirements

1

  • Python 3 (3.4 recommended)
  • sklearn (NumPy, SciPy)
  • matplotlib

2-4

  • theano

5

  • Semisup-learn

6

  • Natural Language Toolkit (NLTK)
  • BeautifulSoup...
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