ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s

mlclass-ex6\dataset3Params.m
...........\emailFeatures.m
...........\emailSample1.txt
...........\emailSample2.txt
...........\ex6.m
...........\ex6data1.mat
...........\ex6data2.mat
...........\ex6data3.mat
...........\ex6_spam.m
...........\gaussianKernel.m
...........\getVocabList.m
...........\linearKernel.m
...........\ml_login_data.mat
...........\plotData.m
...........\porterStemmer.m
...........\processEmail.m
...........\readFile.m
...........\spamSample1.txt
...........\spamSample2.txt
...........\spamTest.mat
...........\spamTrain.mat
...........\submit.m
...........\submitWeb.m
...........\svmPredict.m
...........\svmTrain.m
...........\visualizeBoundary.m
...........\visualizeBoundaryLinear.m
...........\vocab.txt
mlclass-ex6

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