TY  - BOOK
AU  - Miller,Thomas W.
TI  - Modeling techniques in predictive analytics with python and R: a guide to data science 
SN  - 9780133892062 (hardcover : alk. paper)
U1  - 000SA.16 23
PY  - 2015///
CY  - New Jersey
PB  - Pearson Education
KW  - Decision making
KW  - Statistical methods.
KW  - Python (Computer program language)
KW  - R (Computer program language)
N1  - Includes bibliographical references and index; Preface --
 Figures --
 Tables --
 Exhibits --
1. Analytics and Data Science --
2. Advertising and Promotion --
3. Preference and Choice --
4. Market Basket Analysis --
5. Economic Data Analysis --
6. Operations Management --
7. Text Analytics --
8. Sentiment Analysis --
9. Sports Analytics --
10. Spatial Data Analysis --
11. Brand and Price --
12. The Big Little Data Game --
A. Data Science Methods --
B. Measurement --
C. Case Studies --
D. Code and Utilities --
Bibliography --
Index
N2  - This book will help to use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage.
ER  -