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docs
docs
 
 
MLPregressionLoss.m
MLPregressionLoss.m
 
 
MLPregressionPredict.m
MLPregressionPredict.m
 
 
README.md
README.md
 
 
autoGrad.m
autoGrad.m
 
 
classifier2Dplot.m
classifier2Dplot.m
 
 
classifier2Dplot1.m
classifier2Dplot1.m
 
 
clusterDBcluster.m
clusterDBcluster.m
 
 
clusterKmeans.m
clusterKmeans.m
 
 
clusterKmedians.m
clusterKmedians.m
 
 
clustering2Dplot.m
clustering2Dplot.m
 
 
cnn.m
cnn.m
 
 
decisionForest.m
decisionForest.m
 
 
decisionStump.m
decisionStump.m
 
 
decisionTree.m
decisionTree.m
 
 
dijkstra.m
dijkstra.m
 
 
dimRedPCA.m
dimRedPCA.m
 
 
dimRedPCA_alternate.m
dimRedPCA_alternate.m
 
 
dimRedRPCA.m
dimRedRPCA.m
 
 
example_logistic.m
example_logistic.m
 
 
example_multiClass.m
example_multiClass.m
 
 
exchangenode.m
exchangenode.m
 
 
findMin.m
findMin.m
 
 
findMinL1.m
findMinL1.m
 
 
getColorsRGB.m
getColorsRGB.m
 
 
isLegal.m
isLegal.m
 
 
leastSquares.m
leastSquares.m
 
 
leastSquaresBasis.m
leastSquaresBasis.m
 
 
leastSquaresBias.m
leastSquaresBias.m
 
 
leastSquaresClassifier.m
leastSquaresClassifier.m
 
 
leastSquaresGradient.m
leastSquaresGradient.m
 
 
leastSquaresNL.m
leastSquaresNL.m
 
 
leastSquaresRBF.m
leastSquaresRBF.m
 
 
listdijkstra.m
listdijkstra.m
 
 
log0.m
log0.m
 
 
logLinearClassifier.m
logLinearClassifier.m
 
 
logReg.m
logReg.m
 
 
logRegL0.m
logRegL0.m
 
 
logRegL1.m
logRegL1.m
 
 
logRegL2.m
logRegL2.m
 
 
majorityPredictor.m
majorityPredictor.m
 
 
naiveBayes.m
naiveBayes.m
 
 
plot2Dclassifier.m
plot2Dclassifier.m
 
 
quantizeImage.m
quantizeImage.m
 
 
randomStump.m
randomStump.m
 
 
randomTree.m
randomTree.m
 
 
randomWalk.m
randomWalk.m
 
 
robustRegression.m
robustRegression.m
 
 
setupgraph.m
setupgraph.m
 
 
softMaxClassifier.m
softMaxClassifier.m
 
 
standardizeCols.m
standardizeCols.m
 
 
visualizeISOMAP.m
visualizeISOMAP.m
 
 
visualizeISOMAPnoINF.m
visualizeISOMAPnoINF.m
 
 
visualizeMDS.m
visualizeMDS.m
 
 
weigtedLeastSquares.m
weigtedLeastSquares.m
 
 

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Some of the machine learning functions I've implemented: for learning purpose

yanndubs.github.io/machineLearningCode/

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machine-learning learning-by-doing

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