Predicting the Survival Rate of Titanic Disaster Using Machine Learning Approaches

The Titanic incident has led the scientist and investigators to comprehend what can have prompted the survival of a few travelers and death of the rest. Many machine learning algorithms contributed in predicting the survival rate of passengers. In addition to the this, a dataset of 891 rows which includes the attributes namely Age, PassengerID, Sex, Name, Embarked, Fare etc. has been used. In this paper, survival of passengers is figured out using various machine learning techniques namely decision tree, logistic regression and linear SVM. The main focus of this work is to differentiate between the three different machine learning algorithms to analyze the survival rate of traveller based on the accuracy.