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Chapter 01: Getting Started with PredictiveAnalytics
Chapter 02: The Modeling Process
Chapter 03: Inputting and Exploring Data
Chapter 04: Introduction to RegressionAlgorithms
Chapter 05: Introduction to Decision Trees,Clustering, and SVM
Chapter 06: Using Survival Analysis toPredict and Analyze Customer Churn
Chapter 07: Using Market Basket Analysis asa Recommender Engine
Chapter 08: Exploring Health CareEnrollment Data as a Time Series
Chapter 09: Introduction to Spark Using R
Chapter 10: Exploring Large Datasets UsingSpark
Chapter 11: Spark Machine Learning -Regression and Cluster Models
Chapter 12: Spark Models – Rule-BasedLearning