Basic

Data Mining and Predictive Modeling 

Application Area:
Statistics, Predictive Modeling and Data Mining

Learn how to explore data, analyze root causes, intelligently handle missing data, and efficiently build and compare predictive models on historical data sets. See how to graphically explore data for relationships that may be important for models, build models using JMP, and build and compare models using JMP Pro's advanced modeling capabilities. 

This webinar covers: Fit Model; Effect Summary; Partition; model validation; Formula Depot; Generalized Regression; Bootstrap Forest; Neural Network; Hyperbolic Tangent; and Linear and Gaussian transformations  

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