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Practical Data Analysis Cookbook

You're reading from   Practical Data Analysis Cookbook Over 60 practical recipes on data exploration and analysis

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781783551668
Length 384 pages
Edition 1st Edition
Languages
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Author (1):
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Tomasz Drabas Tomasz Drabas
Author Profile Icon Tomasz Drabas
Tomasz Drabas
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Toc

Table of Contents (13) Chapters Close

Preface 1. Preparing the Data 2. Exploring the Data FREE CHAPTER 3. Classification Techniques 4. Clustering Techniques 5. Reducing Dimensions 6. Regression Methods 7. Time Series Techniques 8. Graphs 9. Natural Language Processing 10. Discrete Choice Models 11. Simulations Index

Introduction

In the following recipes, we will use Python and D3.js to build our understanding of the data. We will analyze the distributions of all the variables, investigate the correlations between features, and visualize the interactions between them. You will learn how to generate histograms and present three-dimensional data on a two-dimensional chart. Finally, you will learn how to produce stratified samples and split your dataset into testing and training subsets.

You have been reading a chapter from
Practical Data Analysis Cookbook
Published in: Apr 2016
Publisher:
ISBN-13: 9781783551668
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