October 2016
Beginner
378 pages
8h 21m
English
Content preview from Python Data Science Essentials - Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
This chapter provided an overview of essential data science by providing examples of both basic and advanced graphical representations of data, machine learning processes, and results. We explored the pylab module from matplotlib, which gives the easiest and fastest access to the graphical capabilities of the package. We used pandas for EDA and tested the graphical utilities provided by Scikit-learn. All examples were like building blocks, and they are all easily customizable in order to provide you with a fast template for visualization.
In conclusion, we have completed our tour of a data science project, touching all the key points of a project, and presenting you with all the essential tools to operate your own projects using Python. ...
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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.