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coursera_ng_ml_project

machine learning course at coursera by ng ex1-ex7是coursera上原版的作业,已经用octave完成

coursera吴恩达机器学习课程作业自写Python2.7版本,使用jupyter notebook实现,使代码更有层次感,可读性强。

本repository实现算法包括如下:

线性回归: linear_regression.ipynb

多元线性回归:linear_multiple.ipynb

逻辑回归:logic_regression.ipynb

正则化用于逻辑回归: logic_regularization.ipynb

模型诊断+学习曲线: learnCurve.ipynb

一对多分类模型:oneVSall.ipynb

神经网络模型:neuralNetwork.ipynb

SVM分类器:svm.ipynb

kmeans聚类:kmeans.ipynb

pca降维:pca.ipynb

高斯分布用于异常检测:anomaly_detection.ipynb

协调过滤推荐算法:Collaborative_Filter.ipynb

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