Data Science, Linear Regression, Machine Learning, Python, Numpy.
descent. Args: betas: A numpy array of shape (1, n+1) containing the current values of the betas. X: A matrix of shape (m, n+1) where m is the number of training examples and n is the number of features (with an additional column of ones to account for the bias term). y: A numpy array of shape (m,