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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Chapter 6. Visualization, Insights, and Results
Finally, yet importantly, we are going to illustrate how to create visualizations with Python to enrich your data science project. Visualization plays an important role in helping you communicate the results and insights derived from data and the learning process.
In this chapter, you will learn how to:
- Use the basic pyplot functions from the matplotlib package
- Leverage pandas DataFrame for Explorative Data Analysis (EDA)
- Create beautiful and interactive charts with Seaborn and Bokeh
- Visualize the machine learning and optimization processes we discussed in Chapter 3, The Data Pipeline, and Chapter 4, Machine Learning
- Understand and visually communicate the importance of variables and their relationship ...
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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.