Linear regression (machine learning)

Last revised by Andrew Murphy on 11 Jun 2019

Linear regression in machine learning is a form of supervised learning, derived from the linear regression models in statistics. It operates under the assumption that two variables have a linear relationship, therefore, can calculate the value of an output variable based on the input variable. Linear regression is often referred to as a predictive model.

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