x1 = np.zeros((67, 3)) x1[:, 0]=np.arange(-1,1,0.03) print(x1.shape) y1=x1[:, 0]*3+x1[:, 0]*2 print(x1[:5]) print(y1[:5]) plt.scatter(x1[:, 0],y1) x1[:, 1]=x1[:, 0]**2 x1[:, 2]=x1[:, 0]**3 print(x1.shape) print(y1.shape)
implement L2-Regularization with Gradinet Descent on this data using python.