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.


Headshot of Sophie Sommer

Sophie Sommer


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


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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