Repository for projects which implement different cost functions for different regression models

OLS method can be used in case of Simple Linear Regression i.e. when we have single independent and dependent variable also called as univariate dataset

• ml-supervised-ols-simple-linear-regression.py has an example implementation for OLS method

• Assume a function f(x), with Gradient Descent we try to find that value of 'x' where the first order derivate f'(x) becomes zero. Algorithm tries various values of x before arriving at a value where f'(x) = 0
• Gradient Descent Algorithm could be applied for multivariate dataset i.e. when we have multiple independent variables and single dependent variable.
• ml-supervised-gradient-descrent-single-variable.py has an example implementation for Gradient Descrent Algorithm for univariate dataset