April 2017
Beginner to intermediate
358 pages
9h 30m
English
Content preview from Learning Data Mining with Python - Second Edition
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Getting the data
The data we will use for the first part of this chapter is a set of books from Project Gutenberg at www.gutenberg.org, which is a repository of public domain literature works. The books I used for these experiments come from a variety of authors:
- Booth Tarkington (22 titles)
- Charles Dickens (44 titles)
- Edith Nesbit (10 titles)
- Arthur Conan Doyle (51 titles)
- Mark Twain (29 titles)
- Sir Richard Francis Burton (11 titles)
- Emile Gaboriau (10 titles)
Overall, there are 177 documents from 7 authors, giving a significant amount of text to work with. A full list of the titles, along with download links and a script to automatically fetch them, is given in the code bundle called getdata.py. If running the code results in significantly ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.