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Understanding the Principles for Building Predictive Models


Learn about:

  • Two approaches
    • Global - more stable, less flexible
    • Local - less stable, more flexible
  • Preventing overfitting
  • Linear Regression, Stepwise Regression, Generalized Regression, Penalized Regression
  • Decision Trees, Bootstrap Forests
  • Boosted Trees
  • Neural Networks
  • Importance of test sets and how to use them
  • Comparing and choosing models   

Note: This video uses JMP 14 and JMP Pro 14.