Linear Regression in Python: Data transformations
Learn about common data transformations for linear regression models.
Tue June 22, 2021 at 3:00 PM UTC
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.
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.
Alex is a Senior Curriculum Developer, specializing in Data Science. Before working at Codecademy, Alex taught high school computer science classes.