Equation for a line that best fits the relationship between the input and the output. It is trained by using a objective function that minimizes error (distance between predictions and actual observations), to tune the model paramaters and
Objective Functions
OLS - Ordinary Least Squares GDO - Gradient Descent Optimization
Downfalls
Variables that are co-related Susceptive to noise