Learn how to use classification models to predict non-numeric outcomes, such as whether a customer will respond to a marketing campaign, default on a loan, or cancel a subscription.
Overview
Syllabus
- Classification Problems
- Binary Classification Models
- Build logistic regression and decision tree models. Use stepwise to automate predictor variables selection. Score and compare models and interpret the results.
- Non-Binary Classification Models
- Build and compare forest and boosted models and interpret their results. Score and compare models and interpret the results.
Taught by
Ben Burkholder
