├── License ├── README.md ├── docs ├── ex1.pdf ├── ex2.pdf ├── ex3.pdf ├── ex4.pdf ├── ex5.pdf ├── ex6.pdf ├── ex7.pdf └── ex8.pdf ├── matlab ├── ex1 │ ├── computeCost.m │ ├── computeCostMulti.m │ ├── data │ │ ├── ex1data1.txt │ │ └── ex1data2.txt │ ├── ex1.m │ ├── ex1Multi.m │ ├── featureNormalize.m │ ├── gradientDescent.m │ ├── gradientDescentMulti.m │ ├── plotData.m │ └── visualCostJ.m ├── ex2 │ ├── costFunction.m │ ├── costFunctionReg.m │ ├── data │ │ ├── ex2data1.txt │ │ └── ex2data2.txt │ ├── ex2.m │ ├── ex2_reg.m │ ├── mapFeature.m │ ├── plotData.m │ ├── plotDecisionBoundary.m │ ├── predict.m │ └── sigmoid.m ├── ex3 │ ├── data │ │ ├── ex3data1.mat │ │ └── ex3weights.mat │ ├── displayData.m │ ├── ex3.m │ ├── ex3_nn.m │ ├── fmincg.m │ ├── lrCostFunction.m │ ├── oneVsAll.m │ ├── predictOneVsAll.m │ ├── predict_nn.m │ └── sigmoid.m ├── ex4 │ ├── checkNNGradients.m │ ├── computeNumericalGradient.m │ ├── data │ │ ├── ex4data1.mat │ │ └── ex4weights.mat │ ├── debugInitializeWeights.m │ ├── displayData.m │ ├── ex4.m │ ├── fmincg.m │ ├── nnCostFunction.m │ ├── predict_nn.m │ ├── randInitializeWeights.m │ ├── sigmoid.m │ └── sigmoidGradient.m ├── ex5 │ ├── ex5.m │ ├── ex5data1.mat │ ├── featureNormalize.m │ ├── fmincg.m │ ├── learningCurve.m │ ├── linearRegCostFunction.m │ ├── plotFit.m │ ├── polyFeatures.m │ ├── trainLinearReg.m │ └── validationCurve.m ├── ex6 │ ├── dataset3Params.m │ ├── ex6.m │ ├── ex6_spam.m │ ├── kernel │ │ ├── gaussianKernel.m │ │ └── linearKernel.m │ ├── methods │ │ ├── emailFeatures.m │ │ ├── getVocabList.m │ │ ├── porterStemmer.m │ │ ├── processEmail.m │ │ └── readFile.m │ ├── plotData.m │ ├── svmPredict.m │ ├── svmTrain.m │ ├── txt │ │ ├── emailSample1.txt │ │ ├── emailSample2.txt │ │ ├── ex6data1.mat │ │ ├── ex6data2.mat │ │ ├── ex6data3.mat │ │ ├── spamSample1.txt │ │ ├── spamSample2.txt │ │ ├── spamTest.mat │ │ ├── spamTrain.mat │ │ └── vocab.txt │ ├── visualizeBoundary.m │ └── visualizeBoundaryLinear.m ├── ex7 │ ├── K_means │ │ ├── computeCentroids.m │ │ ├── drawLine.m │ │ ├── ex7.m │ │ ├── ex7_image.m │ │ ├── findClosestCentroids.m │ │ ├── kMeansInitCentroids.m │ │ ├── plotDataPoints.m │ │ ├── plotProgresskMeans.m │ │ └── runkMeans.m │ ├── Pca │ │ ├── ex7_pca.m │ │ ├── featureNormalize.m │ │ ├── pca.m │ │ ├── projectData.m │ │ └── recoverData.m │ ├── data │ │ ├── ex7data1.mat │ │ ├── ex7data2.mat │ │ ├── ex7faces.mat │ │ ├── lena.png │ │ └── sakimichan.jpg │ ├── displayData.m │ ├── ex7_3d.m │ └── start.m ├── ex8 │ ├── checkCostFunction.m │ ├── computeNumericalGradient.m │ ├── data │ │ ├── ex8_movieParams.mat │ │ ├── ex8_movies.mat │ │ ├── ex8data1.mat │ │ ├── ex8data2.mat │ │ └── movie_ids.txt │ ├── fmincg.m │ ├── part1 │ │ ├── estimateGaussian.m │ │ ├── ex8.m │ │ ├── multivariateGaussian.m │ │ ├── selectThreshold.m │ │ └── visualizeFit.m │ ├── part2 │ │ ├── cofiCostFunc.m │ │ ├── ex8_cofi.m │ │ ├── loadMovieList.m │ │ └── normalizeRatings.m │ └── start.m └── gaussianDemo │ ├── compute_kernel_matrix.m │ ├── gp_demo.m │ └── sample_gp_prior.m ├── python ├── ex1 │ ├── computeCost.py │ ├── data │ │ ├── ex1data1.txt │ │ └── ex1data2.txt │ ├── ex1.py │ ├── ex1_multi.py │ ├── featureNorm.py │ ├── gradientDescent.py │ └── plotData.py ├── ex2 │ ├── costFunction.py │ ├── data │ │ ├── ex2data1.txt │ │ └── ex2data2.txt │ ├── ex2.py │ ├── ex2_reg.py │ ├── mapFeature.py │ ├── plotData.py │ ├── plotDecisionBoundary.py │ ├── predict.py │ └── sigmoid.py ├── ex3 │ ├── data │ │ ├── ex3data1.mat │ │ └── ex3weights.mat │ ├── displayData.py │ ├── ex3.py │ ├── ex3_nn.py │ ├── lrCostFunction.py │ ├── oneVsAll.py │ ├── predict.py │ └── sigmoid.py ├── ex4 │ ├── checkNNGradients.py │ ├── computeNumericalGradient.py │ ├── costFunction.py │ ├── data │ │ ├── ex4data1.mat │ │ └── ex4weights.mat │ ├── debugInitializeWeights.py │ ├── displayData.py │ ├── ex4.py │ ├── predict.py │ ├── randInitializeWeights.py │ └── sigmoid.py ├── ex5 │ ├── costFunction.py │ ├── data │ │ └── ex5data1.mat │ ├── ex5.py │ ├── featuresNormalize.py │ ├── learningCurve.py │ ├── linearCostFunction.py │ ├── plotFit.py │ ├── polyFeatures.py │ ├── trainLinearRegression.py │ └── validationCurve.py ├── ex6 │ ├── __pycache__ │ │ ├── gaussianKernel.cpython-36.pyc │ │ ├── plotData.cpython-36.pyc │ │ └── visualizeBoundary.cpython-36.pyc │ ├── data │ │ ├── emailSample1.txt │ │ ├── emailSample2.txt │ │ ├── ex6data1.mat │ │ ├── ex6data2.mat │ │ ├── ex6data3.mat │ │ ├── spamSample1.txt │ │ ├── spamSample2.txt │ │ ├── spamTest.mat │ │ ├── spamTrain.mat │ │ └── vocab.txt │ ├── emailFeatures.py │ ├── ex6.py │ ├── ex6_spam.py │ ├── gaussianKernel.py │ ├── plotData.py │ ├── plotDecisionBoundary.py │ ├── processEmail.py │ └── visualizeBoundary.py ├── ex7 │ ├── bird_small.mat │ ├── bird_small.png │ ├── computeCentroids.py │ ├── displayData.py │ ├── ex7.py │ ├── ex7_pca.py │ ├── ex7data1.mat │ ├── ex7data2.mat │ ├── ex7faces.mat │ ├── featureNormalize.py │ ├── findClosestCentroids │ ├── findClosestCentroids.py │ ├── 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