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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Exhibits
1.1 Programming the Anscombe Quartet (Python)
1.2 Programming the Anscombe Quartet (R)
2.1 Shaking Our Bobbleheads Yes and No (Python)
2.2 Shaking Our Bobbleheads Yes and No (R)
3.1 Measuring and Modeling Individual Preferences (Python)
3.2 Measuring and Modeling Individual Preferences (R)
4.1 Market Basket Analysis of Grocery Store Data (Python)
4.2 Market Basket Analysis of Grocery Store Data (R)
5.1 Working with Economic Data (Python)
5.2 Working with Economic Data (R)
6.1 Call Center Scheduling (Python)
6.2 Call Center Scheduling (R)
7.1 Text Analysis of Movie Taglines (Python)
7.2 Text Analysis of Movie Taglines (R)
8.1 Sentiment Analysis and Classification of Movie Ratings (Python)
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