This repository contains a Machine Learning model to predict the survival of passengers aboard the Titanic. The model is trained on the famous Titanic dataset, which includes information about passengers such as age, gender, class, and other factors influencing survival.

• Exploratory Data Analysis (EDA) to understand key survival factors
• Data preprocessing, including handling missing values and feature engineering
• Machine Learning model training and evaluation
• Multiple algorithms compared (Logistic Regression, Random Forest, etc.)
• Performance evaluation using accuracy, precision, recall, and F1-score