├── Appendices ├── Linear Algebra │ ├── readme.txt │ └── svdexample.py ├── Python Primer │ ├── ataleof2cities.txt │ ├── histscat.py │ ├── jitex.py │ ├── misc.py │ ├── readme.txt │ ├── snippets.py │ ├── sqrtplot.py │ ├── surf3dscat.py │ └── syndat.py └── readme.txt ├── Chapter1 ├── abalone.data ├── abalone.names ├── birthwt.csv ├── iris.csv ├── nutri.csv ├── nutrition_elderly.csv ├── readme.txt └── snippets.py ├── Chapter2 ├── polyreg1.py ├── polyreg2.py ├── polyreg3.py ├── polyregCV.py └── readme.txt ├── Chapter3 ├── CEmethod.py ├── CEnoisy.py ├── CMCtestloss.py ├── MCsim.py ├── Snoisy.py ├── accrejgamma.py ├── bvnormal.py ├── gibbsamp.py ├── impsamp1.py ├── impsamp2.py ├── mcint.py ├── mcintCV.py ├── mknap2.txt ├── quotunif.py ├── ratioest.py ├── readme.txt ├── rwsamp.py ├── simann.py ├── stochapprox.py └── stochcounterpart.py ├── Chapter4 ├── AggCluster.py ├── EMclust.py ├── Kmeans.py ├── PCAdat.py ├── PCAiris.py ├── clustCE.py ├── clustCE2.py ├── clusterdata.csv ├── gausthetakde.py ├── irisX.csv ├── kde.py ├── pcadat.csv └── readme.txt ├── Chapter5 ├── WomenWage.csv ├── confpred.py ├── crop.py ├── forwardselection.py ├── logreg1d.py ├── pearson.csv ├── polyregpress.py ├── readme.txt ├── snippets.py └── survey.csv ├── Chapter6 ├── genham.py ├── peakskernel.py ├── readme.txt ├── smoothspline.py └── smoothspline_fig.py ├── Chapter7 ├── LDA.py ├── LDAmixture.py ├── QDA.py ├── crx.data ├── crx.names ├── dataproj.py ├── datared.py ├── naiveBayes.py ├── nearestnb.py ├── readme.txt ├── seeds_dataset.txt ├── skclass1.py ├── skclass2.py ├── skclass3.py ├── snippets.py ├── svmcirc.csv ├── svmkern.py ├── svmquad.py ├── wdbc.data ├── wdbc.names ├── winequality-red.csv └── winequality.names ├── Chapter8 ├── AdaBoost.py ├── BaggingExample.py ├── BaggingExampleRF.py ├── BasicTree.py ├── GradientBoostingRegression.py ├── RegressionBoosting.py ├── TreeDepthCV.py ├── VarImportance.py ├── readme.txt └── snippets.py ├── Chapter9 ├── ImageClassificationPytorch.py ├── 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