Using data from the National Youth in Transition Database at the National Data Archive on Child Abuse and Neglect, I am employ hierarchical clustering, random forest algorithms, and logistic regression modeling to assess importance and predictive power of a number of variables to help understand patterns in transitioning foster teen’s use of public financial assistance

The work on this page is an excerpt from an open-note exam for my Statistical Learning course in Spring 2025. This excerpt is meant to show the process of how I create and apply Statistical Learning models, prior to writing a formal report.