Data Science, Linear Regression, Machine Learning, Python, Numpy.
betas def main(self, X, y): """ Method that takes in X and y, initializes betas, and performs gradient descent to optimize the values of betas. Args: X: A matrix of shape (m, n) where m is the number of training examples and n is the number of features. y: A numpy array of shape (m, 1) containing