This project predicts passenger survival using data from the Titanic disaster. It includes data exploration, feature engineering, and model training using a Random Forest Classifier.
- Analyzed survival rate by gender
- Engineered categorical features using one-hot encoding
- Trained a RandomForest model (Accuracy: 80+%)