Dalageo/ml-titanic-shipwreck

Exploring the World's Most Renowned Shipwreck 🚢

38
/ 100
Emerging

This project helps you understand what factors affected passenger survival on the Titanic and lets you build a model to predict who would survive based on their characteristics. You input a dataset with passenger details like age, gender, and ticket class, and it outputs a model that estimates survival probabilities. This is useful for anyone interested in historical data analysis, predictive modeling, or exploring social dynamics from past events.

Use this if you want to explore the Titanic dataset, learn how to handle missing data, and build a machine learning model to predict survival outcomes.

Not ideal if you are looking for a plug-and-play application for general predictive modeling that doesn't require direct interaction with code or data preparation.

historical-analysis predictive-modeling data-science-education social-statistics survival-prediction
No Package No Dependents
Maintenance 6 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 11 / 25

How are scores calculated?

Stars

12

Forks

2

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Dec 16, 2025

Commits (30d)

0

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