从头开始使用梯度下降优化在Python中实现多元线性回归(代码)

import matplotlib.pyplot as pltimport numpy as npdef hypothesis(theta, X, n): h = np.ones((X.shape[0],1)) theta = theta.reshape(1,n+1) for i in range(