Linear Regression - Intro, Assumptions & Code [2021-02-22]

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We introduce the concept of linear regression and motivate how it relates to covariance and correlation. We discuss the assumptions that should be satisfied to do linear regression. Finally, we discuss the concept of train-test sets for machine learning and demonstrating how to code linear regression with Scikit-learn.

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