In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

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Homoskedastic refers to a condition in which the variance of the error term in a regression model is constant. Learn more about its importance and how it is used.

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.