July 2016
Intermediate to advanced
278 pages
6h 48m
English
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 ...
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