Titanic Survival Prediction

This project involves building a predictive model to determine whether a passenger would have survived the Titanic disaster. Using historical passenger data, the Random Forest Classifier learns patterns from various features including passenger class, age, gender, fare, and embarkation port. The model was trained on 80% of the data and evaluated on 20%, achieving an accuracy of 85%.