机器学习相关内容，基于matlab仿真，实现了线性回归分类器的功能-Files included in this exercise

ex1.m- Octave scr ipt that will help step you through the exercise

ex1 multi.m- Octave scr ipt for the later parts of the exercise

ex1data1.txt- Dataset for linear regression with one variable

ex1data2.txt- Dataset for linear regression with multiple variables

submit.m- Submission scr ipt that sends your solutions to our servers

[?] warmUpExercise.m- Simple example function in Octave

[?] plotData.m- Function to display the dataset

[?] computeCost.m- Function to compute the cost of linear regression

[?] gradientDescent.m- Function to run gradient descent

[y] computeCostMulti.m- Cost function for multiple variables

[y] gradientDescentMulti.m- Gradient descent for multiple variables

[y] featureNormalize.m- Function to normalize features

[y] normalEqn.m- Function to compute the normal equations