Linear Regression

Linear regression is a supervised learning algorithm for predicting continuous outcomes. It seeks to find the best-fitting linear model that minimizes the squared errors This model assumes a linear relationship between the input features and target variable The goal is to estimate the coefficients of the linear equation, such as slope and intercept Linear regression can be used for both feature selection and building predictive models