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Hands-On Data Science and Python Machine Learning

You're reading from   Hands-On Data Science and Python Machine Learning Perform data mining and machine learning efficiently using Python and Spark

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787280748
Length 420 pages
Edition 1st Edition
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (11) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Statistics and Probability Refresher, and Python Practice 3. Matplotlib and Advanced Probability Concepts 4. Predictive Models 5. Machine Learning with Python 6. Recommender Systems 7. More Data Mining and Machine Learning Techniques 8. Dealing with Real-World Data 9. Apache Spark - Machine Learning on Big Data 10. Testing and Experimental Design

A crash course in Matplotlib

Your data is only as good as you can present it to other people, really, so let's talk about plotting and graphing your data and how to present it to others and make your graphs look pretty. We're going to introduce Matplotlib more thoroughly and put it through its paces.

I'll show you a few tricks on how to make your graphs as pretty as you can. Let's have some fun with graphs. It's always good to make pretty pictures out of your work. This will give you some more tools in your tool chest for visualizing different types of data using different types of graphs and making it look pretty. We'll use different colors, different line styles, different axes, things like that. It's not only important to use graphs and data visualization to try to find interesting patterns in your data, but it's also interesting to present...

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