Modeling techniques in predictive analytics with python and R : a guide to data science / Thomas W. Miller.
Material type:
TextPublication details: New Jersey : Pearson Education, c2015.Description: vxiii, 418 p. : illustrations ; 25 cmISBN: - 9780133892062 (hardcover : alk. paper)
- 000SA.16 23 M651
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.16 M651 (Browse shelf(Opens below)) | Available | 136342 |
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| 000SA.16 H526 Applied choice analysis / | 000SA.16 L853 Statistical decision theory / | 000SA.16 M651 Modeling techniques in predictive analytics with python and R : | 000SA.16 M651 Modeling techniques in predictive analytics with python and R : a guide to data science / | 000SA.16 P532 Prior processes and their applications : | 000SA.16 W157 statistical decision functions | 000SA.16 W157 statistical decision functions |
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.
This book will help to use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage.
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