Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
return J def calc_gradient_descent(X, y, theta, lr, num_iters): """calculates gradient descent""" cost_list = np.zeros(num_iters) theta_list = np.zeros((num_iters, len(theta))) for i in range(num_iters): # Compute the gradient grad = X.T.dot(X.dot(theta) - y) / len(y) # Update the parameters theta