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英文文档图片均来自原档作业pdf截图 网址https://www.coursera.org/learn/machine-learning/programming/8f3qT/linear-regression*1 Regularized Linear Regression打开ex5data1.mat文件已经划分好了训练集，交叉验证集，测试集先画出训练集X,y的散点图：依旧编写代价函数：这里包括对常数项的Theta进行正则化，不用像之前把theta0去掉；def cost_linear(t

英文文档图片均来自原档作业pdf截图 网址https://www.coursera.org/learn/machine-learning/programming/8f3qT/linear-regression*Neural Networks Learning

英文文档图片均来自原档作业pdf截图 网址https://www.coursera.org/learn/machine-learning/programming/8f3qT/linear-regression*1 Multi-class Classification

英文文档图片均来自原档作业pdf截图 网址https://www.coursera.org/learn/machine-learning/programming/8f3qT/linear-regression*Logistic Regression修改某行index name： 这个只能对某一行修改行名：data1.rename({data1.index[0]:'no'}) 试了好多函数，最后还是采用按数量修改。。用loc（）选择还是改不了。。有大神教我一下吗通过重新排序并根据

英文文档图片均来自原档作业pdf截图 网址https://www.coursera.org/learn/machine-learning/programming/8f3qT/linear-regressionimport numpy as npimport pandas as pdfrom matplotlib import pyplot as pltpath = r'D:\Ninachen\wg_machinelearning\machine-learning-ex1\ex1\ex1data