Expand Your Analytic Skills
Understanding and Applying Tree-based Methods for Predictor Screening and Modeling (Advanced)
April 18, 2019 | 2 PM ET (11 AM PT)
JMP and JMP Pro offer tree-base modeling methods that segment predictors into groups that can be summarized in the form of a tree. These non-linear methods are useful for regression and classification, and are easy to interpret. Enhancing them with bagging, random forest and boosting techniques creates multiple trees that can further increase prediction accuracy.
This webinar covers: Building and tuning models using Partition, Gradient Boosting, Boosted Tree, and Bootstrap Forest; and using Column Contributions to identify key factors.
Register now for this free, one-hour, interactive webinar.
Date: Thursday, April 18, 2019
Time: 2 PM ET (11 AM PT)