Description: Various Bayes, k close, a large collection of KNN algorithm example
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File list (Check if you may need any files):
beiyesigen
..........\Adaboost
..........\........\adaboost.py
..........\........\README.md
..........\........\testAdaboost.py
..........\bikMeans
..........\........\bikMeans.m
..........\........\README.md
..........\........\testSet.txt
..........\Decision-Tree
..........\.............\README.md
..........\.............\TestTree.py
..........\.............\Tree.py
..........\DeepLearning
..........\............\CNN_cifar-10
..........\............\............\cifar.py
..........\............\CNN_mnist
..........\............\.........\cnn.py
..........\............\.........\data.py
..........\............\.........\trainCNN.py
..........\............\UFLDL
..........\............\.....\stl_exercise
..........\............\.....\............\display_network.m
..........\............\.....\............\feedForwardAutoencoder.m
..........\............\.....\............\initializeParameters.m
..........\............\.....\............\loadMNISTImages.m
..........\............\.....\............\loadMNISTLabels.m
..........\............\.....\............\softmaxCost.m
..........\............\.....\............\softmaxPredict.m
..........\............\.....\............\softmaxTrain.m
..........\............\.....\............\sparseAutoencoderCost.m
..........\............\.....\............\stlExercise.m
..........\............\.....\Vectorization_sparseae_exercise
..........\............\.....\...............................\checkNumericalGradient.m
..........\............\.....\...............................\computeNumericalGradient.m
..........\............\.....\...............................\display_network.m
..........\............\.....\...............................\initializeParameters.m
..........\GMM
..........\...\gmm.m
..........\...\gmm.py
..........\...\README.md
..........\...\testGMM.m
..........\...\testSet.txt
..........\kalmanFilter
..........\............\kalmanFiltering.m
..........\............\KF.m
..........\Kmeans
..........\......\distEclud.m
..........\......\kMeans.m
..........\......\README.md
..........\......\testkMeans.m
..........\......\testSet.txt
..........\KNN
..........\...\datingTestSet2.txt
..........\...\handWritingTest.m
..........\...\KNN.m
..........\...\KNN.py
..........\...\KNNdatgingTest.m
..........\...\README.md
..........\Logistic-regression
..........\...................\gradAscent.m
..........\...................\ImproveStocGradAscent.m
..........\...................\README.md
..........\...................\stocGradAscent.m
..........\...................\testSet.txt
..........\MLP
..........\...\dualperceptron.py
..........\...\perceptron.py
..........\...\testSet.txt
..........\PCA
..........\...\PCA.m
..........\...\README.md
..........\...\testPCA.m
..........\...\testSet.txt
..........\README.md
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