Regression with Machine Learning with Jon Krohn

Jon Krohn provides practical real-world demonstrations of regression, a powerful, highly extensible approach to making predictions. He distinguishes independent from dependent variables and discusses linear regression to predict continuous variables, first with a single model feature, and then with many including discrete features. He completes the lesson with logistic regression for predicting discreet outcomes.

This lesson is an excerpt from “Probability and Statistics for Machine Learning”. Purchase the entire video course at informit.com/youtube and save 50% with discount code YOUTUBE.

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