Machine Learning, Data Science, Linear Regression, Gradient Descent, Numpy.
we just need to find the best parameters m and q. So we can say that the MSE is a function F that depends on the two parameters m and q : F(m,q) Once we have found these parameters we can make some predictions, for each new record we can tell what will be the associated output. Gradient Descent to