Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
range(len(theta0_vals)): for j in range(len(theta1_vals)): J_vals[i, j] = cost_function(X_b, y, np.array([[theta0_vals[i,j]], [theta1_vals[i,j]], [0]])) ax.plot_surface(theta0_vals, theta1_vals, J_vals, cmap='coolwarm', alpha=0.7) ax.plot(theta_history[:,0], theta_history[:,1], J_history,