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Python Data Science Essentials

You're reading from Python Data Science Essentials Become an efficient data science practitioner by thoroughly understanding the key concepts of Python

Product type Paperback

Published in Apr 2015

Publisher Packt

ISBN-13 9781785280429

Length 258 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Table of Contents (8) Chapters

Preface

1. First Steps FREE CHAPTER

2. Data Munging

3. The Data Science Pipeline

4. Machine Learning

5. Social Network Analysis

6. Visualization

Index

Chapter 6. Visualization

Last but not least, we are going to illustrate how to create visualizations with Python to support 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)
Visualize the machine learning and optimization processes we discussed in Chapter 3, The Data Science Pipeline, and Chapter 4, Machine Learning
Understand and visually communicate variables' importance and their relationship with the target outcome

The rest of the chapter is locked

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