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Modeling techniques in predictive analytics with python and R : a guide to data science / Thomas W. Miller.

By: Material type: TextTextPublication details: New Jersey : Pearson Education, c2015.Description: vxiii, 418 p. : illustrations ; 25 cmISBN:
  • 9780133892062 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 000SA.16 23 M651
Contents:
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.
Summary: 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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Holdings
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
Total holds: 0

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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