斯坦福ML课程——python转写(Week2—课程作业ex1_1)

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最新推荐文章于 2024-04-12 23:19:12 发布 · 362 阅读

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#机器学习

利用python完成课程作业ex1的第一部分，第一部分的要求如下：

In this part of this exercise, you will implement linear regression with onevariable to predict prots for a food truck. Suppose you are the CEO of arestaurant franchise and are considering different cities for opening a newoutlet. The chain already has trucks in various cities and you have data forprots and populations from the cities.

在ex1.py的代码中，分为四个部分，每个部分分别如下：

Part 1: Basic Function
Part 2:Plotting
Part 3: Cost and Gradient descent
Part 4: Visualizing J(theta_0, theta_1)

具体改写代码如下：

# -*- coding: utf-8 -*-
"""
Created on Sat Nov 16 10:40:51 2019

@author: Lonely_hanhan
"""
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

''' ==================== Part 1: Basic Function ===================='''
print('Running warmUpExercise ... \n')
print('5x5 Identity Matrix: \n')

def w