business-machine-learning

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匿名用户2021年11月11日
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开发技术Python
所属分类人工智能、机器学习/深度学习
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作品详情

BusinessMachineLearningandDataScienceApplicationsSov.aiResearchLab(Sponsorship)

AnimatedInvestmentManagementResearchatSov.ai—SponsoringopensourceAI,Machinelearning,andDataScienceinitiatives.

Acuratedlistofappliedbusinessmachinelearning(BML)andbusinessdatascience(BDS)examplesandlibraries.ThecodeinthisrepositoryisinPython(primarilyusingjupyternotebooks)unlessotherwisestated.Thecatalogueisinspiredbyawesome-machine-learning.

Caution:Thisisaworkinprogress,pleasecontribute,especiallyifyouareasubjectexpertinML/DSforAccounting,Customer,Employee,Legal,Management,Operations.

Ifyouwanttocontributetothislist(pleasedo),sendmeapullrequestorcontactme@dereknoworonlinkedinandyoucanalsoreachmeonthewebsiteFirmAI.Also,alistedrepositoryshouldbedeprecatedif:

Repository'sownerexplicitlysaythat"thislibraryisnotmaintained".Notcommittedforlongtime(2~3years).TableofContentsDepartmentApplicationsAccountingMachineLearningAnalyticsTextualAnalysisDataResearchandArticlesWebsitesCoursesCustomerLifetimeValueSegmentationBehaviourRecommenderChurnPredictionSentimentEmployeeManagementPerformanceTurnoverConversationsPhysicalLegalToolsPolicyandRegulatoryJudicialManagementStrategyDecisionOptimisationCausalInferenceStatisticsQuantitativeDataOperationsFailuresandAnomaliesLoadandCapacityManagementPredictionManagementAlsoseePythonBusinessAnalytics

Accounting

MachineLearningChartofAccountPrediction-Usinglabeleddatatosuggesttheaccountnameforeverytransaction.AccountingAnomalies-Usingdeep-learningframeworkstoidentifyaccountinganomalies.FinancialStatementAnomalies-Detectinganomaliesbeforefiling,usingR.UsefulLifePrediction(FirmAI)-Predicttheusefullifeofassetsusingsensorobservationsandfeatureengineering.AIAppliedtoXBRL-StandardizedrepresentationofXBRLintoAIandMachinelearning.

AnalyticsForensicAccounting-Collectionofcasestudiesonforensicaccountingusingdataanalysis.Onthelookoutformoredatatopractiseforensicaccounting,pleasegetintouchGeneralLedger(FirmAI)-Dataprocessingoverageneralledgerasexportedthroughanaccountingsystem.BulletGraph(FirmAI)-Bulletgraphvisualisationhelpfulfortrackingsales,commissionandotherperformance.AgedDebtors(FirmAI)-Exampleanalysistoinvetigateageddebtors.AutomatedFSXBRL-XMLLanguage,however,possiblyportanalysisintoPython.

TextualAnalysisFinancialSentimentAnalysis-Sentiment,distanceandproportionanalysisfortradingsignals.ExtensiveNLP-ComprehensiveNLPtechniquesforaccountingresearch.

Data,ParsingandAPIsEDGAR-Awalk-throughinhowtoobtainEDGARdata.IRS-AcessingandparsingIRSfilings.FinancialCorporate-Rutgerscorporatefinancialdatasets.Non-financialCorporate-Rutgersnon-financialcorporatedataset.PDFParsing-ExtractingusefuldatafromPDFdocuments.PDFTabeltoExcel-HowtooutputanexcelfilefromaPDF.

ResearchAndArticlesUnderstandingAccountingAnalytics-Anarticlethattacklestheimportanceofaccountinganalytics.VLFeat-VLFeatisanopenandportablelibraryofcomputervisionalgorithms,whichhasMatlabtoolbox.

WebsitesRutgersRaw-GooddigitalaccountingresearchfromRutgers.

CoursesComputerAugmentedAccounting-AvideoseriesfromRutgersUniversitylookingattheuseofcomputationtoimproveaccounting.AccountinginaDigitalEra-AnotherseriesbyRutgersinvestigatingtheeffectsthedigitalagewillhaveonaccounting.

Customer

LifetimeValuePareto/NBDModel-CalculatetheCLVusingaPareto/NBDmodel.CohortAnalysis-Cohortanalysistogroupcustomersintomutuallyexclusivecohortsmeasuredovertime.

SegmentationE-commerce-E-commercecustomersegmentation.Groceries-Segmentationforgrocerycustomers.OnlineRetailer-Onlineretailersegmentation.Bank-Bankcustomersegmentation.Wholesale-Clusteringofwholesalecustomers.Various-Multipletypesofsegmentationandclusteringtechniques.

BehaviourRNN-InvestigatingcustomerbehaviourovertimewithsequentialanalysisusinganRNNmodel.NeuralNet-Demandforecastingusingartificialneuralnetworks.TemporalAnalytics-Investigatingcustomertemporalregularities.POSAnalytics-AnalyticsdrivencustomerbehaviourrankingforretailpromotionsusingPOSdata.WholesaleCustomer-Wholesalecustomerexploratorydataanalysis.RFM-DoingaRFM(recency,frequency,monetary)analysis.ReturnsBehaviour-Predictingtotalreturnsandfraudulentreturns.Visits-Predictingwhichdayofweekacustomerwillvisit.Bank:NextPurchase-Aprojecttopredictbankcustomers'mostprobablenextpurchase.Bank:CustomerPrediction-PredictingTargetcustomerswhowillsubscribethenewpolicyofthebank.NextPurchase-Predictacustomers’nextpurchasealsousingfeatureengineering.CustomerPurchaseRepeats-Usingthelifetimespythonlibraryandrealjewelleryretailerdataanalysecustomerrepeatpurchases.ABTesting-FindthebestKPIanddoA/Btesting.CustomerSurvey(FirmAI)-Exampleofparsingandanalysingacustomersurvey.Happiness-Analysingcustomerhappinessfromhotelstaysusingreviews.MiscellaneousCustomerAnalytics-Varioustoolsandtechniquesforcustomeranalysis.

RecommenderRecommendation-Recommendthesongsthatacustomeronamusicappwouldpreferlisteningto.GeneralRecommender-Identifyingwhichproductstorecommendtowhichcustomers.CollaborativeFiltering-Customerrecommendationusingcollaborativefiltering.Up-selling(FirmAI)-Analysistoidentifyup-sellingopportunities.

ChurnPredictionRideSharing-Identifycustomerchurnratesinordertotargetcustomersforretentioncampaigns.KKDBoxI-VariationaldeepautoencodertopredictchurncustomerKKDBoxII-Athreestepcustomerchurnpredictionframeworkusingfeatureengineering.PersonalFinance-Predictcustomersubscriptionchurnforapersonalfinancebusiness.ANN-Churnanalysisusingartificialneuralnetworks.Bike-Customerbikechurnanalysis.CostSensitive-Costsensitivechurnanalysisdrivenbyeconomicperformance.

SentimentTopicModelling-TopicmodellingonacorpusofcustomersurveysfromtheVRindustry.CustomerSatisfaction-PredictcustomersatisfactionusingKaggledata.

Employee

ManagementPersonalityPrediction-PredictBig5Personalityfromtext.SalaryPredictionResume-Textualanalysesoverresumetopredictappropriatesalary[ProjectDisappeared,stillacoolidea]EmployeeReviewAnalysis-Reviewanalyticsfortop50retailcompaniesonIndeed.DiversityAnalysis-Asimpleanalysisofgenderandracedisparityinthetechindustry.OccupationPrediction-Predictthelikelihoodthatanoccupationisanalytical.

PerformanceTrainingHoursPerformance-Theimpactoftrainingoursonemployeeperformance.PromotionPrediction-Analysingpromotionpatterns.EmployeeAttendanceprediction-Varioustoolstopredictemployeeattendance.

TurnoverEarlyLeavingEmployees-Identifyingwhythebestandmostexperiencedemployeesleavingprematurely.EmployeeTurnover-Identifyingfactorsassociatedwithemployeeturnover.

ConversationsSlackCommunicationAnalysis-Producingmeaningfulvisualisationsfromslackconversations.EmployeeRelationshipsfromConversations-IdentifyingemployeerelationshipsfromemailsforimprovedHRanalytics.CategoriseEmployeeRequests-ClassifyingemployeerequestsviaTFDIFVectorizerandRandomForestClassifier.

PhysicalEmployeeFaceRecognition-Afacerecognitionimplementation.AttendanceManagementSystem-Anattendancemanagementsystemusingfacerecognition.

Legal

ToolsLexPredict-Softwarepackageandlibrary.AIPara-legal-Lobeistheworld'sfirstAIparalegal.LegalEntityDetection-NERForLegalDocuments.LegalCaseSummarisation-Implementationofdifferentsummarisationalgorithmsappliedtolegalcasejudgements.LegalDocumentsGoogleScholar-UsingGooglescholartoextractcasesprogramatically.ChatBot-Chat-botandemailnotifications.

PolicyandRegulatoryGDPRscores-PredictingGDPRScoresforLegalDocuments.DrivingFactorsFINRA-IdentifythedrivingfactorsthatinfluencetheFINRAarbitrationdecisions.SecuritiesBiasCorrection-Bias-CorrectedEstimationofPriceImpactinSecuritiesLitigation.PublicFirmtoLegalDecision-Embedpublicfirmsbasedontheirreactiontolegaldecisions.

JudicialAppliedSupremeCourtPrediction-PredictingtheideologicaldirectionofSupremeCourtdecisions:ensemblevs.unifiedcase-basedmodel.SupremeCourtTopicModeling-Multiplestepsnecessarytoimplementtopicmodelingonsupremecourtdecisions.JudgeOpinion-Usingtextminingandmachinelearningtoanalyzejudges’opinionsforaparticularconcern.MLLawMatching-Amachinelearninglawmatchmaker.BertMulti-labelClassification-FineGrainedSentimentAnalysisfromAI.SomeComputationalAICourse-VideoseriesLawMIT.

Management

StrategyTopicModelReviews-Amazonreviewsforproductdevelopment.Patents-Forecastingstrategyusingpatents.Networks-BusinesscategoriesfromYelpreviewsusingnetworkscanhelptoidentifypocketsofdemand.CompanyClustering-HierarchicalclustersandtopicsfromcompaniesbyextractinginformationfromtheirdescriptionsontheirwebsitesMarketingManagement-Programmaticmarketingmanagement.

DecisionOptimisationConstraintLearning-Machinelearningthattakesintoaccountconstraints.Fairlearn-Ithinkitiscalledcost-sensitivemachinelearning.Multi-labelClassification-Cost-SensitiveMulti-LabelClassificationMulti-classClassification-Cost-sensitivemulti-classclassification(Weighted-All-Pairs,Filter-Tree&others)CostCla-CostclaisaPythonmoduleforcost-sensitivemachinelearning(classification)builtontopofScikit-LearnDEASoftware-pyDEAisasoftwarepackagedevelopedinPythonforconductingdataenvelopmentanalysis(DEA).CoveringSet(FirmAI)-Constraintprogramminganalysis.Insurance(FirmAI)-CPInsuranceanalysis.MachineLearning+CP(FirmAI)-MachineLearning+Optimisation.PostOffice(FirmAI)-PostOfficeoptimisation.Soda-CP(FirmAI)-ConstraintProgramming+ML.Soda-Knapsack(FirmAI)-Knapsackalgorithm+ML.Soda-MLP(FirmAI)-MLPanalysis+ML.

CasualInferenceMarketingABTesting-A/BTestingExperiment.LegalStudies-Instrumentalanddiscontinuitycausalapproach.A-BTestResult(FirmAI)-InitialA-BResults.CausalRegression(FirmAI)-Regressiontechniqueforcausalestimate.FrequentistvsBayesianA-BTest(FirmAI)-ComparisonbetweenfrequentistandbayesianA-Btesting.A-BTestPowerAnalysis(FirmAI)-Samplesizeestimationtomatchtestingpower.VarianceReductionA-Btest(FirmAI)-TechniquestoreducevarianceinA-Btests.

StatisticsVarious-Variousappliesstatisticalsolutions

QuantitativeAppliedRL-ReinforcementLearningandDecisionMakingtutorialsexplainedatanintuitivelevelandwithJupyterNotebooksProcessMining-LeveragingA-prioriKnowledgeinPredictiveBusinessProcessMonitoringTSForecasting-Timeseriesforecastingforimportantbusinessapplications.

DataWebScraping(FirmAI)-WebscrapingsolutionsforFacebook,Glassdoor,Instagram,Morningstar,Similarweb,Yelp,Spyfu,Linkedin,Angellist.

Operations

FailureandAnomaliesAnomalies-Anomalydetectionresources.IntrusionDetection-Detectingnetworkintrusions.APSFailure,Data-InvestigatingAPSfailuresinScaniatrucks.HardwareFailure-Usingdifferentmachinelearningtechniquesindetectinganomalies.AnomalyKIs,Paper-AnomalydetectionalgorithmforseasonalKPIs.

LoadandCapacityManagementHouseLoadEnergy-Linear,SVRandRandomForestmodelstopredicthouse'sappliancesenergyLoad.UberLoadManagement-Uberpredictiveloadmanagement.CapacityManagement-InvestigatingITstabilityissuesarecausedbycapacityconstraints.BikeSharing-XGBRegressor,RandomForestRegressor,GradientBoostingRegressorcombinedwithfeatureselection.AirlineFleetSegmentation-AnalysisofDeltaairlines.Airbnb-AirbnbBookingAnalysis.

PredictionManagementDisputePrediction-Financialservicecomplaintmanagement.FightDelayPrediction-Transferlearningforflight-delaypredictionviavariationalautoencodersinKeras.ElectricFaultPrediction-Predicttrippingatgridstationsbyapplyingsimplemachinelearningalgorithms.PopularityPredictioninR-MarkedHawkesPointProcess.
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