TITANIC SURVIVAL PREDICTION

The Titanic Survival Prediction project makes use of machine learning methods to examine numerous parameters—such as age, gender, class, and economic status—to calculate the likelihood of a passenger surviving the Titanic sinking. The study’s goal is to identify substantial relationships between these attributes, which will offer light on past patterns of disaster survival. A user-friendly web application is built, allowing users to easily enter passenger information and receive survival probability estimations. This application offers a fantastic resource for historical research and teaching, but it also gives insights that could help to shape future catastrophe prevention strategies. This study achieves a deeper understanding of the elements determining survival during the Titanic tragedy, contributing to both historical scholarship and practical applications in risk management and safety.