book
Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science
by Thomas W. Miller
October 2014
Beginner to intermediate
448 pages
14h 16m
English
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Tables
1.1 Data for the Anscombe Quartet
2.1 Bobbleheads and Dodger Dogs
2.2 Regression of Attendance on Month, Day of Week, and Bobblehead Promotion
3.1 Preference Data for Mobile Communication Services
4.1 Market Basket for One Shopping Trip
4.2 Association Rules for a Local Farmer
6.1 Call Center Shifts and Needs for Wednesdays
6.2 Call Center Problem and Solution
8.1 List-Based Sentiment Measures from Tom’s Reviews
8.2 Accuracy of Text Classification for Movie Reviews (Thumbs-Up or Thumbs-Down)
8.3 Random Forest Text Measurement Model Applied to Tom’s Movie Reviews
9.1 New York Mets’ Early Season Games in 2007
9.2 New York Yankees’ Early Season Games in 2007
10.1 California Housing Data: Original and Computed Variables
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