Data:. Title:. Titanic: Machine Learning from Disaster.

Added on - 22 Sep 2019

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Data:Title:Titanic: Machine Learning from DisasterLink:https://www.kaggle.com/c/titanic/dataOverview:The data has been split into two groups:training set (train.csv)test set (test.csv)The training setwas used to build your machine learning models.The test setshould be used to see how well your model performs on unseen data. For the test set,we do not provide the ground truth for each passenger. It is your job to predict these outcomes.For each passenger in the test set, use the model you trained to predict whether or not theysurvived the sinking of the Titanic.Data DictionaryVariableDefinitionKeysurvivalSurvival0 = No, 1 = YesPclassTicket class1 = 1st, 2 = 2nd, 3 = 3rdSexSexAgeAge in yearsSibsp# of siblings / spouses aboard theTitanicParch# of parents / children aboard theTitanicTicketTicket numberFarePassenger fare
CabinCabin numberembarkedPort of EmbarkationC = Cherbourg, Q = Queenstown, S =SouthamptonVariable Notespclass: A proxy for socio-economic status (SES)1st = Upper2nd = Middle3rd = Lowerage: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5sibsp: The dataset defines family relations in this way...Sibling = brother, sister, stepbrother, stepsisterSpouse = husband, wife (mistresses and fiancés were ignored)parch: The dataset defines family relations in this way...Parent = mother, fatherChild = daughter, son, stepdaughter, stepsonSome children travelled only with a nanny, therefore parch=0 for them.Question 2:Please check the twbx file.Question 3:
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