BusiessMachieLearigadDataScieceApplicatiosSov.aiResearchLab(Sposorship)
AimatedIvestmetMaagemetResearchatSov.ai—SposorigopesourceAI,Machielearig,adDataScieceiitiatives.
Acuratedlistofappliedbusiessmachielearig(BML)adbusiessdatasciece(BDS)examplesadlibraries.ThecodeithisrepositoryisiPytho(primarilyusigjupyterotebooks)ulessotherwisestated.Thecatalogueisispiredbyawesome-machie-learig.
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Repository'sowerexplicitlysaythat"thislibraryisotmaitaied".Notcommittedforlogtime(2~3years).TableofCotetsDepartmetApplicatiosAccoutigMachieLearigAalyticsTextualAalysisDataResearchadArticlesWebsitesCoursesCustomerLifetimeValueSegmetatioBehaviourRecommederChurPredictioSetimetEmployeeMaagemetPerformaceTuroverCoversatiosPhysicalLegalToolsPolicyadRegulatoryJudicialMaagemetStrategyDecisioOptimisatioCausalIfereceStatisticsQuatitativeDataOperatiosFailuresadAomaliesLoadadCapacityMaagemetPredictioMaagemetAlsoseePythoBusiessAalyticsAccoutigMachieLearigChartofAccoutPredictio-Usiglabeleddatatosuggesttheaccoutameforeverytrasactio.AccoutigAomalies-Usigdeep-learigframeworkstoidetifyaccoutigaomalies.FiacialStatemetAomalies-Detectigaomaliesbeforefilig,usigR.UsefulLifePredictio(FirmAI)-Predicttheusefullifeofassetsusigsesorobservatiosadfeatureegieerig.AIAppliedtoXBRL-StadardizedrepresetatioofXBRLitoAIadMachielearig.AalyticsForesicAccoutig-Collectioofcasestudiesoforesicaccoutigusigdataaalysis.Othelookoutformoredatatopractiseforesicaccoutig,pleasegetitouchGeeralLedger(FirmAI)-Dataprocessigoverageeralledgerasexportedthroughaaccoutigsystem.BulletGraph(FirmAI)-Bulletgraphvisualisatiohelpfulfortrackigsales,commissioadotherperformace.AgedDebtors(FirmAI)-Exampleaalysistoivetigateageddebtors.AutomatedFSXBRL-XMLLaguage,however,possiblyportaalysisitoPytho.TextualAalysisFiacialSetimetAalysis-Setimet,distaceadproportioaalysisfortradigsigals.ExtesiveNLP-ComprehesiveNLPtechiquesforaccoutigresearch.Data,ParsigadAPIsEDGAR-Awalk-throughihowtoobtaiEDGARdata.IRS-AcessigadparsigIRSfiligs.FiacialCorporate-Rutgerscorporatefiacialdatasets.No-fiacialCorporate-Rutgerso-fiacialcorporatedataset.PDFParsig-ExtractigusefuldatafromPDFdocumets.PDFTabeltoExcel-HowtooutputaexcelfilefromaPDF.ResearchAdArticlesUderstadigAccoutigAalytics-Aarticlethattacklestheimportaceofaccoutigaalytics.VLFeat-VLFeatisaopeadportablelibraryofcomputervisioalgorithms,whichhasMatlabtoolbox.WebsitesRutgersRaw-GooddigitalaccoutigresearchfromRutgers.CoursesComputerAugmetedAccoutig-AvideoseriesfromRutgersUiversitylookigattheuseofcomputatiotoimproveaccoutig.AccoutigiaDigitalEra-AotherseriesbyRutgersivestigatigtheeffectsthedigitalagewillhaveoaccoutig.CustomerLifetimeValuePareto/NBDModel-CalculatetheCLVusigaPareto/NBDmodel.CohortAalysis-Cohortaalysistogroupcustomersitomutuallyexclusivecohortsmeasuredovertime.SegmetatioE-commerce-E-commercecustomersegmetatio.Groceries-Segmetatioforgrocerycustomers.OlieRetailer-Olieretailersegmetatio.Bak-Bakcustomersegmetatio.Wholesale-Clusterigofwholesalecustomers.Various-Multipletypesofsegmetatioadclusterigtechiques.BehaviourRNN-IvestigatigcustomerbehaviourovertimewithsequetialaalysisusigaRNNmodel.NeuralNet-Demadforecastigusigartificialeuraletworks.TemporalAalytics-Ivestigatigcustomertemporalregularities.POSAalytics-AalyticsdrivecustomerbehaviourrakigforretailpromotiosusigPOSdata.WholesaleCustomer-Wholesalecustomerexploratorydataaalysis.RFM-DoigaRFM(rececy,frequecy,moetary)aalysis.RetursBehaviour-Predictigtotalretursadfrauduletreturs.Visits-Predictigwhichdayofweekacustomerwillvisit.Bak:NextPurchase-Aprojecttopredictbakcustomers'mostprobableextpurchase.Bak:CustomerPredictio-PredictigTargetcustomerswhowillsubscribetheewpolicyofthebak.NextPurchase-Predictacustomers’extpurchasealsousigfeatureegieerig.CustomerPurchaseRepeats-Usigthelifetimespytholibraryadrealjewelleryretailerdataaalysecustomerrepeatpurchases.ABTestig-FidthebestKPIaddoA/Btestig.CustomerSurvey(FirmAI)-Exampleofparsigadaalysigacustomersurvey.Happiess-Aalysigcustomerhappiessfromhotelstaysusigreviews.MiscellaeousCustomerAalytics-Varioustoolsadtechiquesforcustomeraalysis.RecommederRecommedatio-Recommedthesogsthatacustomeroamusicappwouldpreferlisteigto.GeeralRecommeder-Idetifyigwhichproductstorecommedtowhichcustomers.CollaborativeFilterig-Customerrecommedatiousigcollaborativefilterig.Up-sellig(FirmAI)-Aalysistoidetifyup-selligopportuities.ChurPredictioRideSharig-Idetifycustomerchurratesiordertotargetcustomersforretetiocampaigs.KKDBoxI-VariatioaldeepautoecodertopredictchurcustomerKKDBoxII-Athreestepcustomerchurpredictioframeworkusigfeatureegieerig.PersoalFiace-Predictcustomersubscriptiochurforapersoalfiacebusiess.ANN-Churaalysisusigartificialeuraletworks.Bike-Customerbikechuraalysis.CostSesitive-Costsesitivechuraalysisdrivebyecoomicperformace.SetimetTopicModellig-TopicmodelligoacorpusofcustomersurveysfromtheVRidustry.CustomerSatisfactio-PredictcustomersatisfactiousigKaggledata.EmployeeMaagemetPersoalityPredictio-PredictBig5Persoalityfromtext.SalaryPredictioResume-Textualaalysesoverresumetopredictappropriatesalary[ProjectDisappeared,stillacoolidea]EmployeeReviewAalysis-Reviewaalyticsfortop50retailcompaiesoIdeed.DiversityAalysis-Asimpleaalysisofgederadracedisparityithetechidustry.OccupatioPredictio-Predictthelikelihoodthataoccupatioisaalytical.PerformaceTraiigHoursPerformace-Theimpactoftraiigoursoemployeeperformace.PromotioPredictio-Aalysigpromotiopatters.EmployeeAttedacepredictio-Varioustoolstopredictemployeeattedace.TuroverEarlyLeavigEmployees-Idetifyigwhythebestadmostexperiecedemployeesleavigprematurely.EmployeeTurover-Idetifyigfactorsassociatedwithemployeeturover.CoversatiosSlackCommuicatioAalysis-Producigmeaigfulvisualisatiosfromslackcoversatios.EmployeeRelatioshipsfromCoversatios-IdetifyigemployeerelatioshipsfromemailsforimprovedHRaalytics.CategoriseEmployeeRequests-ClassifyigemployeerequestsviaTFDIFVectorizeradRadomForestClassifier.PhysicalEmployeeFaceRecogitio-Afacerecogitioimplemetatio.AttedaceMaagemetSystem-Aattedacemaagemetsystemusigfacerecogitio.LegalToolsLexPredict-Softwarepackageadlibrary.AIPara-legal-Lobeistheworld'sfirstAIparalegal.LegalEtityDetectio-NERForLegalDocumets.LegalCaseSummarisatio-Implemetatioofdifferetsummarisatioalgorithmsappliedtolegalcasejudgemets.LegalDocumetsGoogleScholar-UsigGooglescholartoextractcasesprogramatically.ChatBot-Chat-botademailotificatios.PolicyadRegulatoryGDPRscores-PredictigGDPRScoresforLegalDocumets.DrivigFactorsFINRA-IdetifythedrivigfactorsthatifluecetheFINRAarbitratiodecisios.SecuritiesBiasCorrectio-Bias-CorrectedEstimatioofPriceImpactiSecuritiesLitigatio.PublicFirmtoLegalDecisio-Embedpublicfirmsbasedotheirreactiotolegaldecisios.JudicialAppliedSupremeCourtPredictio-PredictigtheideologicaldirectioofSupremeCourtdecisios:esemblevs.uifiedcase-basedmodel.SupremeCourtTopicModelig-Multiplestepsecessarytoimplemettopicmodeligosupremecourtdecisios.JudgeOpiio-Usigtextmiigadmachielearigtoaalyzejudges’opiiosforaparticularcocer.MLLawMatchig-Amachieleariglawmatchmaker.BertMulti-labelClassificatio-FieGraiedSetimetAalysisfromAI.SomeComputatioalAICourse-VideoseriesLawMIT.MaagemetStrategyTopicModelReviews-Amazoreviewsforproductdevelopmet.Patets-Forecastigstrategyusigpatets.Networks-BusiesscategoriesfromYelpreviewsusigetworkscahelptoidetifypocketsofdemad.CompayClusterig-HierarchicalclustersadtopicsfromcompaiesbyextractigiformatiofromtheirdescriptiosotheirwebsitesMarketigMaagemet-Programmaticmarketigmaagemet.DecisioOptimisatioCostraitLearig-Machielearigthattakesitoaccoutcostraits.Fairlear-Ithikitiscalledcost-sesitivemachielearig.Multi-labelClassificatio-Cost-SesitiveMulti-LabelClassificatioMulti-classClassificatio-Cost-sesitivemulti-classclassificatio(Weighted-All-Pairs,Filter-Tree&others)CostCla-CostclaisaPythomoduleforcost-sesitivemachielearig(classificatio)builtotopofScikit-LearDEASoftware-pyDEAisasoftwarepackagedevelopediPythoforcoductigdataevelopmetaalysis(DEA).CoverigSet(FirmAI)-Costraitprogrammigaalysis.Isurace(FirmAI)-CPIsuraceaalysis.MachieLearig+CP(FirmAI)-MachieLearig+Optimisatio.PostOffice(FirmAI)-PostOfficeoptimisatio.Soda-CP(FirmAI)-CostraitProgrammig+ML.Soda-Kapsack(FirmAI)-Kapsackalgorithm+ML.Soda-MLP(FirmAI)-MLPaalysis+ML.CasualIfereceMarketigABTestig-A/BTestigExperimet.LegalStudies-Istrumetaladdiscotiuitycausalapproach.A-BTestResult(FirmAI)-IitialA-BResults.CausalRegressio(FirmAI)-Regressiotechiqueforcausalestimate.FrequetistvsBayesiaA-BTest(FirmAI)-ComparisobetweefrequetistadbayesiaA-Btestig.A-BTestPowerAalysis(FirmAI)-Samplesizeestimatiotomatchtestigpower.VariaceReductioA-Btest(FirmAI)-TechiquestoreducevariaceiA-Btests.StatisticsVarious-VariousappliesstatisticalsolutiosQuatitativeAppliedRL-ReiforcemetLearigadDecisioMakigtutorialsexplaiedataituitiveleveladwithJupyterNotebooksProcessMiig-LeveragigA-prioriKowledgeiPredictiveBusiessProcessMoitorigTSForecastig-Timeseriesforecastigforimportatbusiessapplicatios.DataWebScrapig(FirmAI)-WebscrapigsolutiosforFacebook,Glassdoor,Istagram,Morigstar,Similarweb,Yelp,Spyfu,Likedi,Agellist.OperatiosFailureadAomaliesAomalies-Aomalydetectioresources.ItrusioDetectio-Detectigetworkitrusios.APSFailure,Data-IvestigatigAPSfailuresiScaiatrucks.HardwareFailure-Usigdifferetmachielearigtechiquesidetectigaomalies.AomalyKIs,Paper-AomalydetectioalgorithmforseasoalKPIs.LoadadCapacityMaagemetHouseLoadEergy-Liear,SVRadRadomForestmodelstopredicthouse'sappliaceseergyLoad.UberLoadMaagemet-Uberpredictiveloadmaagemet.CapacityMaagemet-IvestigatigITstabilityissuesarecausedbycapacitycostraits.BikeSharig-XGBRegressor,RadomForestRegressor,GradietBoostigRegressorcombiedwithfeatureselectio.AirlieFleetSegmetatio-AalysisofDeltaairlies.Airbb-AirbbBookigAalysis.PredictioMaagemetDisputePredictio-Fiacialservicecomplaitmaagemet.FightDelayPredictio-Trasferlearigforflight-delaypredictioviavariatioalautoecodersiKeras.ElectricFaultPredictio-Predicttrippigatgridstatiosbyapplyigsimplemachielearigalgorithms.PopularityPredictioiR-MarkedHawkesPoitProcess.
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