Linear Regression in Python: Data transformations

Learn about common data transformations for linear regression models.

Tue June 22, 2021 at 3:00 PM UTC

Event Information

In this session, we’ll learn about data pre-processing that is useful prior to fitting a linear regression model. These kinds of transformations are potentially helpful when the assumptions of linear regression are otherwise violated. Pre-processing can also make the regression output more interpretable and therefore easier to communicate to a non-technical audience.

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.

Join Codecademy to gain access to this event.

By signing up for Codecademy, you agree to Codecademy's Terms of Service & Privacy Policy.