Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
in simple linear regression, this relationship is often expressed as: where: Y is the dependent variable we want to predict. X is the independent variable we use to make the prediction. β0 and β1 are the parameters of the model that we’ll estimate. β0 is the y-intercept and β1 is the slope of the