concept
Linear Regression is a basic supervised learning algorithm in machine learning, which is used to establish a linear relationship between input variables (features) and output variables (target). It assumes a linear relationship between input variables and output variables and tries to find the best-fit line to describe this relationship.
existsimple linear regression, only two variables are involved: one is the independent variable (input variable) and the other is the dependent variable (output variable). The equations of the model can be expressed as:
[ y = m x + b ] [y = mx + b] [