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Building Better Predictive Models Part 2: Implementing Models using JMP® and JMP® Pro

Application Area:
Statistics, Predictive Modeling and Data Mining

Learn about model types and techniques; the roles of test, training and validation data; and how to compare models. This session is the second in a two-part series. Part 1 covers the principles of predictive modeling. This session, Part 2 uses case studies to demonstrate the application of principles using JMP and JMP Pro.

This webinar covers: Preventing overfitting; Stepwise, Generalized and Penalized Regression; Decision Trees, Bootstrap Forests, Boosted Trees, Neural Nets; Model Comparison; and using test, training and validation data.

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