Lecture 16: Classification via logistic regression
Contents
Lecture 16: Classification via logistic regression¶
Learning objectives¶
Introduce the logistic regression model.
Formulate the parameter estimation problem via maximum likelihood.
Demonstrate the maximizing the likelihood is the same as minimizing the entropy loss.
Introduce diagnostics for validating a logistic regression model.