Regression algorithms are an important algorithm in a data scientist's toolkit as they can be used for various non-binary prediction tasks. The linear regression algorithm models the relationship between a dependent variable that we are trying to predict with a vector of independent variables. The vector of variables is also called the regressor in the context of regression algorithms. Linear regression assumes that there is a linear relationship between the vector of independent variables and the dependent variable that we are trying to predict. Hence, linear regression models learn the unknown variables and constants of a linear function using the training data so that the linear function best fits the training data.
Linear regression can be applied in cases where the goal is to predict or forecast the dependent variable based on the regressor...
