Making Sense of Data
 
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Front Cover
Chapter 1: Introduction
Chapter 2: Definition
Chapter 3: Preparation
Chapter 4: Tables and Graphs
Chapter 5: Statistics
Chapter 6: Grouping
Chapter 7: Prediction
Chapter 8: Deployment
Chapter 9: Conclusions
Back Cover
Errata
 
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Chapter 7: Prediction
 
Description

Chapter 7 describes approaches for making predictions, including:

  • Different types of prediction models
  • How to assess the accuracy of the models generated
  • Issues when applying models
  • Simple regression models
  • k-nearest neighbors
  • Classification and regression trees
  • Neural networks
Further Reading
Tutorials
 
Chapter 8: Deployment
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