AmirFARES/Kaggle-Spaceship-Titanic

Predicting passengers transported to an alternate dimension on Spaceship Titanic. Achieved a 0.80 score, ranking top 28% among 2062 teams (https://www.kaggle.com/code/amirfares/spaceship-titanic-weighted-ensemble).

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Experimental

This project offers a solution for predicting whether passengers aboard the Spaceship Titanic were transported to an alternate dimension after colliding with a spacetime anomaly. It takes passenger records, including personal details and cryosleep status, and outputs a classification of 'transported' or 'not transported' for each individual. This is for data science practitioners looking to hone their predictive modeling skills on a classification problem.

No commits in the last 6 months.

Use this if you are a data science enthusiast or competitor looking for an example of a robust classification model pipeline, including feature engineering and ensemble methods.

Not ideal if you are looking for a plug-and-play solution for a real-world passenger manifest or disaster prediction scenario.

data-science-competition predictive-modeling classification-tasks feature-engineering ensemble-methods
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

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Last pushed

Oct 08, 2023

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