Statsmodels is a Python visualization library built specifically for statistics. It includes advanced functions for statistical testing and modeling.NOWLIVEEmpoweryourenduserswithExplorationsinMode.TryitnowSQLTutorialBasicSQLIntermediateSQLAdvancedSQLSQLAnalyticsTrainingPythonTutorialLearnPythonforbusinessanalysisusingreal-worlddata.Nocodingexperiencenecessary.StartNowModeStudioTheCollaborativeDataSciencePlatformSignUpFreeStatsmodelsAsitsnameimplies,statsmodelsisaPythonlibrarybuiltspecificallyforstatistics.StatsmodelsisbuiltontopofNumPy,SciPy,andmatplotlib,butitcontainsmoreadvancedfunctionsforstatisticaltestingandmodelingthatyouwon'tfindinnumericallibrarieslikeNumPyorSciPy.StatsmodelstutorialsThetutorialsbelowcoveravarietyofstatsmodels'features.LinearregressionAfriendlyintroductiontolinearregression(usingPython)(DataSchool)LinearRegressionwithPython(ConnorJohnson)UsingPythonstatsmodelsforOLSlinearregression(MarktheGraph)LinearRegression(Officialstatsmodelsdocumentation)MultipleregressionMultipleRegressionusingStatsmodels(DataRobot)LogisticregressionLogisticRegressioninPython(Yhat)TimeseriesanalysisASimpleTimeSeriesAnalysisOfTheS&P500Index(JohnWittenauer)TimeSeriesAnalysisinPythonwithstatsmodels(WesMcKinney,JosefPerktold,andSkipperSeabold)TimeSeriesAnalysis(Officialstatsmodelsdocumentation)StatisticaltestsRegressionDiagnosticsandSpecificationTests(Officialstatsmodelsdocumentation)StatsmodelsresourcesChapter11:RegressionofThinkStats(AllenB.Downey)-Thischaptercoversaspectsofmultipleandlogisticregressioninstatsmodels.Itexplainstheconceptsbehindthecode,butyou'llstillneedfamiliaritywithbasicstatisticsbeforedivingin.ThestatsmodelssectionofCrossValidated-Aquestionandanswersiteforpeopleinterestedinstatistics,machinelearning,dataanalysis,datamining,anddatavisualization.Logisticregressionvs.multipleregression(CoolData)-NotPythonrelated,butthisprovidesahelpfulbreakdownofthedifferencesbetweenlogisticandmultipleregression.OfficialstatsmodelsdocumentationGetourweeklydatanewsletter