Highlights include unsupervised and supervised machine learning techniques including: • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression

Machine Learning
................\Classification
................\..............\comparisonPlot.m
................\..............\featureImp.m
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................\..............\ImportBankData.m
................\..............\MachineLearning.m
................\..............\NNfun.m
................\..............\plotBarStackGroups.m
................\..............\preparedataNN.m
................\..............\removequotes.m
................\..............\rotateXLabels.m
................\Clustering
................\..........\BondData.mat
................\..........\bubbleplot.m
................\..........\Example_Clustering.m
................\..........\html
................\..........\....\Example_Clustering.html
................\..........\....\Example_Clustering.png
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................\..........\plotBondClusters.m
................\..........\plotClusterProb.m
................\..........\plotSimilarityMatrix.m
................\Readme.txt
license.txt

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