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).
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.
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Oct 08, 2023
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