├── README.md ├── ml-ex1 ├── computeCost.py ├── computeCostMulti.py ├── ex1.pdf ├── ex1.py ├── ex1_multi.py ├── ex1data1.txt ├── ex1data2.txt ├── featureNormalize.py ├── gradientDescent.py ├── gradientDescentMulti.py ├── normalEqn.py ├── plotData.py └── warmUpExercise.py ├── ml-ex2 ├── costFunction.py ├── costFunctionReg.py ├── ex2.pdf ├── ex2.py ├── ex2_reg.py ├── ex2data1.txt ├── ex2data2.txt ├── mapFeature.py ├── plotData.py ├── plotDecisionBoundary.py ├── predict.py └── sigmoid.py ├── ml-ex3 ├── displayData.py ├── ex3.pdf ├── ex3.py ├── ex3_nn.py ├── ex3data1.mat ├── ex3weights.mat ├── lrCostFunction.py ├── oneVsAll.py ├── predict.py ├── predictOneVsAll.py └── sigmoid.py ├── ml-ex4 ├── checkNNGradients.py ├── computeNumericalGradient.py ├── debugInitializeWeights.py ├── displayData.py ├── ex4.pdf ├── ex4.py ├── ex4data1.mat ├── ex4weights.mat ├── nnCostFunction.py ├── predict.py ├── randInitializeWeights.py ├── sigmoid.py └── sigmoidGradient.py ├── ml-ex5 ├── ex5.pdf ├── ex5.py ├── ex5data1.mat ├── featureNormalize.py ├── learningCurve.py ├── linearRegCostFunction.py ├── plotFit.py ├── polyFeatures.py ├── trainLinearReg.py └── validationCurve.py ├── ml-ex6 ├── cs229-notes3.pdf ├── dataset3Params.py ├── emailFeatures.py ├── emailSample1.txt ├── emailSample2.txt ├── ex6.pdf ├── ex6.py ├── ex6_spam.py ├── ex6data1.mat ├── ex6data2.mat ├── ex6data3.mat ├── gaussianKernel.py ├── getVocabList.py ├── linearKernel.py ├── plotData.py ├── processEmail.py ├── readFile.py ├── smo-book.pdf ├── smo.pdf ├── spamSample1.txt ├── spamSample2.txt ├── spamTest.mat ├── spamTrain.mat ├── stemmer.py ├── svmPredict.py ├── svmTrain.py ├── visualizeBoundary.py ├── visualizeBoundaryLinear.py └── vocab.txt ├── ml-ex7 ├── bird_small.mat ├── bird_small.png ├── computeCentroids.py ├── displayData.py ├── drawLine.py ├── ex7.pdf ├── ex7.py ├── ex7_pca.py ├── ex7data1.mat ├── ex7data2.mat ├── ex7faces.mat ├── featureNormalize.py ├── findClosestCentroids.py ├── kMeansInitCentroids.py ├── pca.py 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