Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
color='r', marker='x', linestyle='-', linewidth=2) ax.set_xlabel(r'$\theta_0$') ax.set_ylabel(r'$\theta_1$') ax.set_zlabel('J') plt.show() Gradient Descent in 3D. Image by the author. The gradient descent algorithm is efficient if your data is small. However, let’s say you have 2,000 features for