Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
plt.figure(figsize=(10,8)) ax = fig.add_subplot(111, projection='3d') theta0_vals = np.linspace(-5, 5, 100) theta1_vals = np.linspace(-5, 5, 100) theta0_vals, theta1_vals = np.meshgrid(theta0_vals, theta1_vals) J_vals = np.zeros((len(theta0_vals), len(theta1_vals))) for i in