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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
Tools
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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 FREE CHAPTER 2. Exploring the Data 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

Index

A

  • agent-based simulations
    • limitations / Introduction
    • reference link / Introduction
    • sheep-wolf predation example / Determining if a population of sheep is in danger of extinction due to a wolf pack, How it works…
  • airports
    • URL / Introduction
  • alternative specific constants (ASCs)
    • about / How it works…
  • American River dataset
    • URL / How to do it…
  • Anaconda
    • URL / Getting ready
  • Application Programming Interface (API)
    • about / How it works…
  • Application Programming Interfaces (APIs) / Reading raw text from the Web
  • arpack
    • reference linkTopicn / How it works…
  • article
    • topic, handling / Identifying the topic of an article, How it works…
  • Artificial Neural Networks (ANN)
    • about / Employing neural networks to classify calls
    • reference link / See also
  • auto-regressive (AR) component
    • about / How it works…
  • autocorrelation function (ACF)
    • about / How to do...
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