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TopicWeb based UI1Web based UI2Web based UI3GANESH COMMENTS
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GOOD HUBShttp://w1.stat.tamu.edu/stat30x/jhardin/applets/http://machinelearningmastery.com/useful-things-to-know-about-machine-learning/
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Size of Conv Network Outputhttp://cs231n.github.io/convolutional-networks/
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Least square (ridge regression, fits a line)http://www.theparticle.com/applets/ml/least_squares/http://www.dartmouth.edu/~chemlab/info/resources/linear/linear.htmlhttp://mste.illinois.edu/activity/regression/
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Least square (ridge regression, fits a polynomial)http://www.theparticle.com/applets/ml/least_squares_poly/http://www.chem.uoa.gr/applets/AppletPoly/Appl_Poly2.html
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Least squares (without regularization)http://mste.illinois.edu/users/exner/java.f/leastsquares/
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kNN (k = 1)http://www.theparticle.com/applets/ml/nearest_neighbor/
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k-means (k=4)http://www.theparticle.com/applets/ml/k_means/
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SVM (classification)http://svm.dcs.rhbnc.ac.uk/pagesnew/GPat.shtml2 is (too slow)
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Decision Treeshttp://www.montefiore.ulg.ac.be/~geurts/dtapplet/dtexplication.html#onlinehttp://webdocs.cs.ualberta.ca/~aixplore/learning/DecisionTrees/Applet/DecisionTreeApplet.htmlhttp://www.doc.ic.ac.uk/~tora/previous/AIDTL/DecisionTree.htmlhttp://www.hakank.org/weka/WekaJ48Applet.html
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Naive Bayes classifier
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Adaboosthttp://cseweb.ucsd.edu/~yfreund/adaboost/
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Perceptronhttp://www.eee.metu.edu.tr/~alatan/Courses/Demo/AppletPerceptron.html
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STATS APPLET (ULTIMATE)http://www.bbn-school.org/us/math/ap_stats/applets/applets.html
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Plotting distributionshttp://www.fortunecity.co.uk/meltingpot/back/340/product/java/cdfdemomain.htmlhttp://www.stat-athens.aueb.gr/~karlis/morematerial.htmlhttp://www.ne.jp/asahi/y/kumamoto/applet/Ie/twovariIE.htmlwww.causeweb.org/repository/statjava/BetaDensityApplet.htmlhttp://www.fmi.uni-sofia.bg/vesta/Virtual_Labs/special/special6.html
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Significance testhttp://www.cs.uiowa.edu/~rlenth/Power/http://www.rossmanchance.com/applets/TOSCalculations/TOSCalculations.html
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Goodness of fit testshttp://onlinestatbook.com/stat_sim/chisq_theor/index.html
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Simple statshttp://www.rossmanchance.com/applets/DotPlotApplet/DotPlotApplet.html
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Good Generic Classification applets (second one includes least squared linear discriminant)http://www.cs.technion.ac.il/~rani/LocBoost/http://wr0k.com/applets/ml/http://www.cis.upenn.edu/~pereira/classes/CIS620/lectures/maxent.pdfhttp://www.isip.piconepress.com/projects/speech/software/demonstrations/applets/util/pattern_recognition/v7.3/
http://www.isip.piconepress.com/projects/speech/software/demonstrations/applets/util/pattern_recognition/tutorials/index.html
May be best to start with this
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Weka basedhttp://www.hakank.org/weka/ which points to
http://www.hakank.org/weka/WekaApplet1.html
http://www.hakank.org/weka/WekaJ48Applet.html
http://www.hakank.org/weka/TextClassifierComments.html
http://www.hakank.org/weka/AssociationRulesApplet.html
http://www.hakank.org/weka/AssociationRulesApplet2.html
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Level curve applethttp://www.slu.edu/classes/maymk/banchoff/LevelCurve.html
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Clustering (with must-link .. cannot-link)http://nlp.stanford.edu/~danklein/demos/constrained-clustering-demo.shtml
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Matrix calculator (eigenvalues, psd, etc)http://www.educypedia.be/education/calculatorsmatrix.htm
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Bayesian Estimation, Conjugate Prior, etchttp://artint.info/demos/bayeslearn/beta.htmlhttp://www.causeweb.org/repository/statjava/BetaDensityApplet.html
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List of appletshttp://www.cs.cmu.edu/~epxing/Class/10701-08s/lecture.htmlhttp://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html
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Gaussian classifiers leading upto EMhttp://www.cs.mcgill.ca/~mcleish/644/main.htmlhttp://www.socr.ucla.edu/Applets.dir/MixtureEM.htmlhttp://www.theparticle.com/applets/ml/k_means/
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Clusteringhttp://home.dei.polimi.it/matteucc/Clustering/tutorial_html/AppletKM.htmlhttp://home.dei.polimi.it/matteucc/Clustering/tutorial_html/AppletH.htmlhttp://home.dei.polimi.it/matteucc/Clustering/tutorial_html/AppletFCM.htmlhttp://www.cs.uic.edu/~wilkinson/Applets/cluster.htmlhttp://www.theparticle.com/applets/ml/k_means/http://nlp.stanford.edu/~danklein/demos/constrained-clustering-demo.shtmlhttp://webdocs.cs.ualberta.ca/~yaling/Cluster/Applet/Code/Cluster.html
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APRIORIhttp://www2.cs.uregina.ca/~dbd/cs831/notes/itemsets/itemsetgenerator.phphttp://www.hakank.org/weka/AssociationRulesApplet.htmlhttp://www.hakank.org/weka/AssociationRulesApplet2.html
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Non parametric density estimationhttp://www.stat.tamu.edu/~jhardin/applets/signed/Kdens.htmlhttp://www.stat.tamu.edu/~jhardin/applets/signed/Hist.htmlhttp://www.stat.sc.edu/rsrch/gasp/density/http://www.eee.metu.edu.tr/~alatan/Courses/Demo/AppletParzen.html
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Principal Component Analysishttp://www.cs.mcgill.ca/~sqrt/dimr/dimreduction.htmlhttp://neuron.eng.wayne.edu/java/PCA/PCA.htmlhttp://lcn.epfl.ch/tutorial/english/pca/html/index.htmlhttp://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf
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CNN http://cs.stanford.edu/people/karpathy/convnetjs/http://places.csail.mit.edu/demo.html
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RNNhttp://www.cs.toronto.edu/~ilya/rnn.html
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