Codecademy Live Linear Regression #7: Comparing and Choosing a Linear Regression Model

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Welcome to linear regression with Codecademy!
Curriculum Developers Sophie and Alex will continue to walk us through our Linear Regression in Python Course. Check out the full course here: https://j.mp/2QecF6y

Have questions about this livestream? Join us for office hours on our Discord server Thursday, July 1 at 11:00 AM: https://bit.ly/3px5QKy

More details:
In our seventh 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.

The code used in this video can be found here: https://github.com/Codecademy/Linear-Regression-Live-Series

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Category
Codecademy
Tags
linear regression, python, machine learning
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