Machine Learning black boxes (Training Models)

Simple Linear regression is a simple yet powerful supervised learning technique. The aim of linear regression is to identify how the input variable(explanatory variable) influences the output variable(response variable). Simple Linear regression performs the task to predict a dependent variable value (y) based on a given independent variable (x). So, this regression technique finds out a linear relationship between x (input) and y(output). Hence, the name is Linear Regression. In the figure above, X (input) is the work experience and Y (output) is the salary of a person.