Machine Learning, Linear Regression, Gradient Descent, Python, Stochastic Gradient.
descent def gradient_descent(b0, b1, stepsize): # calculate gradient descent g_b0 = -2*sum(y_norm-(b0+b1*x_norm)) g_b1 = -2*sum([(y_i-(b0+b1*x_i))*x_i for x_i, y_i in zip(x_norm, y_norm)]) # update both b0 and b1 b1_new = b1 - stepsize*g_b1 b0_new = b0 - stepsize*g_b0 return b0_new, b1_new, g_b0,