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Python Data Science Essentials

You're reading from   Python Data Science Essentials A practitioner's guide covering essential data science principles, tools, and techniques

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789537864
Length 472 pages
Edition 3rd Edition
Languages
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Authors (2):
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Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
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Toc

Table of Contents (11) Chapters Close

Preface 1. First Steps FREE CHAPTER 2. Data Munging 3. The Data Pipeline 4. Machine Learning 5. Visualization, Insights, and Results 6. Social Network Analysis 7. Deep Learning Beyond the Basics 8. Spark for Big Data 9. Strengthen Your Python Foundations 10. Other Books You May Enjoy

Visualization, Insights, and Results

After exploring machine learning, but not because the topic is less relevant than others, 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 do the following:

  • Use the basic pyplot functions from the matplotlib package
  • Leverage a pandas DataFrame for Explorative Data Analysis (EDA)
  • Create beautiful and interactive charts with Seaborn
  • Visualize the machine learning and optimization processes we discussed
    in Chapter 3, The Data Pipeline, and Chapter 4, Machine Learning
  • Understand and visually communicate variables' importance and their relationship with the target outcome
  • Set up a prediction server that uses HTTP to...
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