Log Loss

Linear Regression is a fundamental machine learning technique used for predicting a continuous target variable. It models the relationship between one or more independent variables and a dependent variable by fitting a straight line that minimizes the sum of squared differences between observed and predicted values. This method is widely used for its simplicity and interpretability in regression tasks.