Linear Regression in Python: Comparing and choosing a linear regression model

Learn how to compare and choose between candidate linear models.

Tue June 29, 2021 at 3:00 PM UTC

Event Information

In this session, we’ll discuss ways of comparing possible regression models and choosing the “best” one for prediction or analysis. In different business and research settings, the word “best” might mean different things. For example, if you need to be able to explain your model to a broad audience, you may want to prioritize interpretability over small gains in accuracy. By the end of this session, you’ll understand some of the most common methods for choosing a model.

Speakers

Headshot of Sophie Sommer

Sophie Sommer

Codecademy

Sophie is a Curriculum Developer focusing on Data Science content. Sophie is a former classroom teacher with a background in learning analytics and education research.

Headshot of Alex Kuntz

Alex Kuntz

Codecademy

Alex is a Senior Curriculum Developer, specializing in Data Science. Before working at Codecademy, Alex taught high school computer science classes.

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