Applied Predictive Modeling

This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications...

Full description

Main Authors: Kuhn, Max. (Author, http://id.loc.gov/vocabulary/relators/aut), Johnson, Kjell. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Subjects:
Online Access:https://doi.org/10.1007/978-1-4614-6849-3
Table of Contents:
  • General Strategies
  • Regression Models
  • Classification Models
  • Other Considerations
  • Appendix
  • References
  • Indices.