文件名称:线性回归
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通过已知数据建立对应模型，找出数据集的最优线性关系来预测或估计需要的因变量。(The corresponding model is established by the known data, and the optimal linear relation of the data set is found to predict or estimate the dependent variable.)
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下载文件列表
Homework1\code and data\一元线性回归\computeCost.m
Homework1\code and data\一元线性回归\ex1.m
Homework1\code and data\一元线性回归\ex1data1.txt
Homework1\code and data\一元线性回归\gradientDescent.m
Homework1\code and data\一元线性回归\plotData.m
Homework1\code and data\多元线性回归\computeCostMulti.m
Homework1\code and data\多元线性回归\ex1data2.txt
Homework1\code and data\多元线性回归\ex1_multi.m
Homework1\code and data\多元线性回归\featureNormalize.m
Homework1\code and data\多元线性回归\gradientDescentMulti.m
Homework1\code and data\多元线性回归\normalEqn.m
Homework1\computeCost.m
Homework1\computeCostMulti.m
Homework1\ex1data2.txt
Homework1\ex1_multi.m
Homework1\featureNormalize.m
Homework1\gradientDescent.m
Homework1\gradientDescentMulti.m
Homework1\Homework1.pdf
Homework1\normalEqn.m
Homework1\plotData.m
Homework1\code and data\一元线性回归
Homework1\code and data\多元线性回归
Homework1\code and data
Homework1
Homework1\code and data\一元线性回归\ex1.m
Homework1\code and data\一元线性回归\ex1data1.txt
Homework1\code and data\一元线性回归\gradientDescent.m
Homework1\code and data\一元线性回归\plotData.m
Homework1\code and data\多元线性回归\computeCostMulti.m
Homework1\code and data\多元线性回归\ex1data2.txt
Homework1\code and data\多元线性回归\ex1_multi.m
Homework1\code and data\多元线性回归\featureNormalize.m
Homework1\code and data\多元线性回归\gradientDescentMulti.m
Homework1\code and data\多元线性回归\normalEqn.m
Homework1\computeCost.m
Homework1\computeCostMulti.m
Homework1\ex1data2.txt
Homework1\ex1_multi.m
Homework1\featureNormalize.m
Homework1\gradientDescent.m
Homework1\gradientDescentMulti.m
Homework1\Homework1.pdf
Homework1\normalEqn.m
Homework1\plotData.m
Homework1\code and data\一元线性回归
Homework1\code and data\多元线性回归
Homework1\code and data
Homework1
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