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Building Customer Propensity Models

  • Roger Barga
  • Valentine Fontama
  • Wee Hyong Tok
Chapter

Abstract

This chapter will provide a practical guide for building machine learning models. It focuses on buyer propensity models, showing how to apply the data science process to this business problem. Through a step-by-step guide, this chapter will explain how to apply key concepts and leverage the capabilities of Microsoft Azure Machine Learning for propensity modeling.

Keywords

Feature Selection Mutual Information Yearly Income Menu Item Random Guess 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Valentine Fontama 2014

Authors and Affiliations

  • Roger Barga
    • 1
  • Valentine Fontama
    • 1
  • Wee Hyong Tok
    • 1
  1. 1.WAUS

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