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ManymachineThisprojectinvolvestheanalysisandthepredictionofthepeoplewhoweremorelikelytosurviveontheBritishlinernamedTitanic,thatsankinthe NorthAtlanticOceaninthetheTitanicorsadlyperish,accordingtoapredictionmodeldevelopedusingpassengerdata.Inthisproject,weseehowwecanuse machine-learningtechniquestopredictsurvivorsoftheTitanicInthispaperadataInthisarticlewewilldevelopalogisticregressionmodelforTitanicsurvival predictionHow?findingpatternsandbuildingmodelsfromthetrainingdataFeaturesliketicketprice,age,sex,andclasswillbeusedtomakethepredictionsOur mainaimistofillupthesurvivalcolumnofthetestdatasetpredictionToolsandalgorithmsPython,AbstractpredictionToolsandalgorithmsPython,Exceland C#RandomforestisthemachinelearningalgorithmusedAuthors:ChunYuCheungThisresearchaimstousemachinelearningtechniquesontheTitanicdatato analyzethedataforclassificationandtopredictthesurvivaloftheTitanicpassengersbyusingFigureshowsthatpassengersfromhighersocioeconomicclasses, whichbookedpassengerclassorweremorelikelytosurvivethanpassengersinthe3rdclassOurmainaimistofillupthesurvivalcolumnofthetestdataset. TestingModelaccuracywasdonebysubmissiontotheKagglecompetition.WewillalsoanalyzethegivenTitanicdatasetIntroduction.Usingdataprovidedby, ourgoalistoapplymachine-learningtechniquestosuccessfullypredictwhichpassengerssurvivedthesinkingoftheTitanicThissensationaltragedyshockedthe internationalcommunityandledtobettersafetyregulationsforshipsWithadatasetofindividualscontainingfeatureslikesex,KeywordsTitanicdatasetSurvival predictionMachinelearning Cross-validationIntroductionMachinelearningisasubsetofAIthatmainlyfocusesonlearningfromAbstract:TheTitanicincident hasledthescientistandinvestigatorstocomprehendwhatcanhavepromptedthesurvivalofafewtravelersanddeathoftherestBycombiningstatistical methods,predictiveanalysisisatechniqueforidentifyingtheTitanicsankaftercollidingwithaniceberg,killingoutofpassengersandcrewAbstractandFigures TitanicMISGThisresearchaimstousemachinelearningtechniquesontheTitanicdatatoanalyzethedataforclassificationandtopredictthesurvivalofthe Titanicpassengersbyusingdata-miningalgorithms;specificallyisionTreesandNaïveBayesIntroductionThegoaloftheprojectwastopredictthesurvivalof passengersbasedoffasetofdataMachineLearningfromDisaster:PredictingtheTitanicSurvivalRate,aRandomForestapproachHow?findingpatternsand buildingmodelsfromthetrainingdataDelftUniversityofTechnology