Here we have titanic training dataset, which have various features like PassengerId, Survived, Pclass, Name, Sex, Age, SibSp, Parch, Ticket, Fare, Cabin, Embarked. In the testing dataset we have one feature less i.e. Survived. Model is trained using Random Forest Classifier on the training dataset and predicted the survived passengers (1-survived, 0-not survived) from the testing dataset.