Modeling techniques in predictive analytics with Python and R : a guide to data science /

Thomas W. Miller's balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you're new to predictive analytics, Miller gives you a strong foundation for achieving accurate, acti...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Miller, Thomas W., 1946-
Format: Electronic eBook
Language:Inglés
Published: Upper Saddle River, NJ : Pearson Education, 2014, ©2015.
Subjects:
Decision making > Statistical methods.
Python (Computer program language)
R (Computer program language)
Forecasting > Mathematical models.
Business planning.
Prise de décision > Méthodes statistiques.
Python (Langage de programmation)
R (Langage de programmation)
Business planning
Decision making > Statistical methods
Forecasting > Mathematical models
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Analytics and data science
  • Advertising and promotion
  • Preference and choice
  • Market basket analysis
  • Economic data analysis
  • Operations management
  • Text analytics
  • Sentiment analysis
  • Sports analytics
  • Spatial data analysis
  • Brand and price
  • The big little data game
  • [Appendix] A. Data science methods
  • [Appendix] B. Measurement
  • [Appendix] C. Case studies
  • [Appendix] D. Code and utilities.

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