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ML PLAYGROUNDInteractive demo
Titanic Survival Prediction
A hands-on ML playground around the classic Titanic dataset — feature engineering and model benchmarking, wired to live inference rather than a static notebook.
Role · ML — feature engineering & benchmarking
PythonPandasScikit-learn
What it does
Instead of a write-up, this is meant to be played with: adjust passenger features — class, sex, age — and watch a trained model predict survival probability in real time.
Under the hood
The classic feature-engineering-and-benchmarking loop.
- Feature engineering over the Titanic dataset in Pandas.
- Model benchmarking with Scikit-learn.
Work in progress
The live in-browser inference widget is being wired up — the homepage shows a preview of the interaction.