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Apache Spark Machine Learning Blueprints

You're reading from   Apache Spark Machine Learning Blueprints Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785880391
Length 252 pages
Edition 1st Edition
Languages
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Author (1):
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Alex Liu Alex Liu
Author Profile Icon Alex Liu
Alex Liu
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Table of Contents (13) Chapters Close

Preface 1. Spark for Machine Learning FREE CHAPTER 2. Data Preparation for Spark ML 3. A Holistic View on Spark 4. Fraud Detection on Spark 5. Risk Scoring on Spark 6. Churn Prediction on Spark 7. Recommendations on Spark 8. Learning Analytics on Spark 9. City Analytics on Spark 10. Learning Telco Data on Spark 11. Modeling Open Data on Spark Index

Spark for risk scoring


In this section, we will start with a real business case, and then describe how to prepare an Apache Spark environment to use R notebooks to work on this real life risk scoring project.

The use case

XST Corp provides loans and other financial assistance to millions of individuals who need the cash either to continue their business or to take care of some emergent personal needs. This company accepts applications online and then makes instant decisions on most of the received applications. For this purpose, they use the data collected from the online applications and data collected in the past in their data warehouse, along with additional data provided by third parties.

Their online applications provide identity data and some financial data of the applicants. The company's compiled data consists of information related to location, economy, and others. The third-party data has a lot of rich data related to past credit, current employment, and others.

This company works...

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