Regression Regression models are used to predict a continuous value. Predicting prices of a house given the features of house like size, price etc. is one   of the common examples of regression. It is a supervised technique. Types of Regression: -   Simple Linear Regression  Polynomial regression Support Vector Regression   Decision Tree Regression   Random Forest Regression 1.         Simple Linear Regression:-   This   si one of most common and interesting type of regression technique. Here we predict a target variable Y based on the input variable X. A linear relationship should exist between target variable and predictor and so comes the name linear regression. 2.         Polynomial Regression: -   In polynomial regression, we transform the original features into polynomial features of a given degree and then apply linear regression on it. 3.         Support Vector Regression :-   In SVR, we identify a hyper plane with maximum margin such that maximum numbers of data po