Exploratory Data Analysis and Machine Learning on Titanic Disaster Dataset

Karman Singh, Renuka Nagpal, Rajni Sehgal

202017 citationsDOI

Abstract

RMS Titanic was a British cruise ship said to be the largest cruise ever made in the history of world. It collided with an iceberg during its maiden journey across the pacific ocean from Southampton to New York City. With more than 2200 passengers on board, nearly half of them died after the unprecedented mishap. The infamous incident compels researchers to dig into the dataset. This research is aimed at achieving an exploratory data analysis and understand the effect or parameters key to the survival of a person had they been on the ship. The survival prediction has been done by applying various algorithms like Logistic Regression, K - nearest neighbours, Support vector machines, Decision Tree. Towards the end, accuracies of the algorithms based on features fed to them has been compared in a tabular form.

Topics & Concepts

CruiseDecision treeSupport vector machineKey (lock)Exploratory data analysisLogistic regressionExploratory analysisComputer scienceArtificial intelligenceOn boardMachine learningOperations researchData scienceGeographyEngineeringData miningComputer securityRemote sensingGeologyOceanographyAnomaly Detection Techniques and ApplicationsFault Detection and Control SystemsTime Series Analysis and Forecasting