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

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.

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Parametric versus Semi/nonparametric Regression Models Course Topics Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

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