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Apache Spark for Data Science Cookbook

You're reading from   Apache Spark for Data Science Cookbook Solve real-world analytical problems

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Product type Paperback
Published in Dec 2016
Publisher
ISBN-13 9781785880100
Length 392 pages
Edition 1st Edition
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Authors (2):
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Padma Priya Chitturi Padma Priya Chitturi
Author Profile Icon Padma Priya Chitturi
Padma Priya Chitturi
Nagamallikarjuna Inelu Nagamallikarjuna Inelu
Author Profile Icon Nagamallikarjuna Inelu
Nagamallikarjuna Inelu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Big Data Analytics with Spark 2. Tricky Statistics with Spark FREE CHAPTER 3. Data Analysis with Spark 4. Clustering, Classification, and Regression 5. Working with Spark MLlib 6. NLP with Spark 7. Working with Sparkling Water - H2O 8. Data Visualization with Spark 9. Deep Learning on Spark 10. Working with SparkR

Chapter 4. Clustering, Classification, and Regression

In this chapter, we will cover the following recipes:

  • Introduction
  • Applying regression analysis for sales data
    • Variable identification
    • Data exploration
    • Feature engineering
    • Applying linear regression
  • Applying logistic regression on bank marketing data
    • Variable identification
    • Data exploration
    • Feature engineering
    • Applying logistic regression
  • Real-time intrusion detection using streaming k-means
    • Variable identification
    • Producer code generating real-time data
    • Applying streaming k-means
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