Titanic Survival Prediction

Machine learning project predicting passenger survival using ensemble methods and feature engineering techniques.

Machine Learning Completed

Python Scikit-learn Pandas NumPy Matplotlib Flask

84.2%

Accuracy

82.1%

Precision

78.9%

Recall

80.4%

F1 Score

Interactive Survival Prediction

Enter passenger details to predict their survival probability using our trained ensemble model.

Passenger Class:

Gender:

Age:

Siblings/Spouses aboard:

Parents/Children aboard:

Fare (£):

Port of Embarkation:

Enter passenger details and click "Predict Survival" to see results.

Handling missing data in passenger records

Feature engineering from categorical variables

Balancing model complexity with interpretability

Creating an interactive web demonstration