Beginner’s Guide to Logistic Regression with cuML

What is Logistic Regression? And how to implement it in Python with RAPIDS cuML

Logistic regression is an algorithm used to predict the probability of events, given some other measurements. Logistic Regression is used when the dependent variable (“target”) is categorical.

For example,

• Will the team win (1) or lose (0) this game?
• Are users going to stop using our app (1) or not (0)?