Jupyterotebooksforthebook"TheElemetsofStatisticalLearig".
ThisrepositorycotaisJupyterotebooksimplemetigthealgorithmsfoudithebookadsummaryofthetextbook.
Requiremetsjupyterpadasumpymatplotlibscipytesorflow2-temporarilyutilIhavealotoffreetimetoimplemetthemfromscratchaditisusedolyiChapter11.TableofCotetsChapter2
2.3LeastSquaresadNearestNeighbors(bviewer)2.4StatisticalDecisioTheory(bviewer)2.5LocalMethodsiHighDimesios(bviewer)2.6StatisticalModels,SupervisedLearigadFuctioApproximatio(bviewer)2.7StructuredRegressioModels(bviewer)2.8ClassesofRestrictedEstimators(bviewer)2.9ModelSelectioadtheBias-VariaceTradeoff(bviewer)Chapter3
3.1Itroductio(bviewer)3.2LiearRegressioModelsadLeastSquares(bviewer)3.2.1ExampleProstateCacer(bviewer)3.2.2TheGauss–MarkovTheorem(bviewer)3.2.3MultipleRegressioFromSimpleUivariateRegressio(bviewer)3.2.4MultipleOutputs(bviewer)3.3SubsetSelectio(bviewer)3.4ShrikageMethods(bviewer)3.4.1RidgeRegressio(bviewer)3.4.2TheLasso(bviewer)TODO:3.4.3Discussio:SubsetSelectio,RidgeRegressioadtheLasso(bviewer)3.4.4LeastAgleRegressio(bviewer)3.5MethodsUsigDerivedIputDirectios(bviewer)Chapter4
4.1Itroductio(bviewer)4.2LiearRegressioofaIdicatorMatrix(bviewer)4.3LiearDiscrimiatAalysis(bviewer)4.3.1RegularizedDiscrimiatAalysisbviewer)4.3.2ComputatiosforLDA(bviewer)4.3.3Reduced-RakLiearDiscrimiatAalysis(bviewer)4.4LogisticRegressio(bviewer)4.4.1FittigLogisticRegressioModels(bviewer)4.4.2Example:SouthAfricaHeartDisease(bviewer)4.4.3QuadraticApproximatiosadIferece(bviewer)4.4.4L1RegularizedLogisticRegressio(bviewer)Chapter11
WIP:11.7Example:ZIPCodeData(bviewer)
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