Titanic Survival Prediction Project

Titanic Survival Prediction Project

This project focuses on building a machine learning model to predict the survival of passengers aboard the Titanic. The primary goal is to use passenger information to determine who was more likely to survive the disaster.

Project Overview

The project begins with an exploratory data analysis (EDA) phase to understand the dataset's characteristics and the relationships between various features and the survival outcome. This is followed by data preprocessing and the implementation of a single machine learning model.