klevis / frauddetection Public

Machine learning Fraud Detection with SPARK and OCTAVE

ramok.tech

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Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
config		config
data		data
src/main/java/ramo/klevis/ml/fraud		src/main/java/ramo/klevis/ml/fraud
winutils-master		winutils-master
README.md		README.md
applyAnomalyDetection.m		applyAnomalyDetection.m
applyAnomalyDetectionWithGaussianFeatures.m		applyAnomalyDetectionWithGaussianFeatures.m
applyPCA.m		applyPCA.m
applyPCAWithNormalization.m		applyPCAWithNormalization.m
findBestEpsilon.m		findBestEpsilon.m
findMuAndSigma.m		findMuAndSigma.m
internalChooseRandomData.m		internalChooseRandomData.m
internalNormalize.m		internalNormalize.m
internalPCAAndPlot.m		internalPCAAndPlot.m
internalPlot.m		internalPlot.m
internalPlotDataBeforeAnomalyDetection.m		internalPlotDataBeforeAnomalyDetection.m
internalProjectData.m		internalProjectData.m
loadDataAndApplyAnomalyDetection.m		loadDataAndApplyAnomalyDetection.m
loadDataAndApplyAnomalyDetectionWithGaussianFeatures.m		loadDataAndApplyAnomalyDetectionWithGaussianFeatures.m
loadDataAndApplyPCA.m		loadDataAndApplyPCA.m
loadDataAndApplyPCAWithNormalization.m		loadDataAndApplyPCAWithNormalization.m
multivariateGaussianFunction.m		multivariateGaussianFunction.m
pca.m		pca.m
pom.xml		pom.xml
trainAndFindBestEpsilon.m		trainAndFindBestEpsilon.m