Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
estimates, inefficient parameter estimates, and incorrect inference. Therefore, understanding and checking these assumptions is a crucial step in the process of building a linear regression model. In the next section, we’ll look at how to apply linear regression to a practical problem, interpret