# What is a Regression * In Regression, we plot a graph between the variables which best fit the given data points. The machine learning model can deliver predictions regarding the data.  * In naïve words, “Regression shows a line or curve that passes through all the data points on a target-predictor graph in such a way that the vertical distance between the data points and the regression line is minimum.”  # Types of Regression models * Linear Regression * Polynomial Regression * Logistics Regression # Linear Regression in Machine Learning: * Linear regression is one of the easiest and most popular Machine Learning algorithms. It is a statistical method that is used for predictive analysis. Linear regression makes predictions for continuous/real or numeric variables such as sales, salary, age, product price, etc. * Linear regression algorithm shows a linear relationship between a dependent (y) and one or more independent (y) variables, hence called as linear regression....