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.