This project implements the Kaggle competition "Titanic: Machine Learning from Disaster" using the Random Forest algorithm to predict the survival of passengers aboard the Titanic. The model leverages various passenger characteristics, including age, gender, class, and fare, to determine survival outcomes.
Through this analysis, the project aims to uncover insights into factors influencing survival rates during the Titanic disaster and demonstrates practical applications of machine learning in historical data analysis.