Titanic Survival Prediction

Summary

• Built a Random Forest Classifier to predict survival on the Titanic dataset.
• Achieved ~83% accuracy on test data.
• Important Features: Sex, passenger class, and age strongly influenced survival.
• Spotted a potential risk of overfitting.
• Future improvements: K-Fold cross-validation, using SciKit Learn's RandomForest library