January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Technical requirements
In this chapter, we will be using Python 3 with the following supporting libraries:
- deap
- numpy
- pandas
- matplotlib
- seaborn
- sklearn – introduced in this chapter
In addition, we will be using the UCI Zoo Dataset (https://archive.ics.uci.edu/ml/datasets/zoo).
The programs that will be used in this chapter can be found in this book's GitHub repository at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/tree/master/Chapter07.
Check out the following video to see the Code in Action: http://bit.ly/37HCKyr
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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.