using support vector machines (SVMs) to build a spam classifier

ex6.m - main1

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 - main2

spamTrain.mat - Spam training set

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

processEmail.m - Email preprocessing

emailFeatures.m - Feature extraction from emails