ds-wook/ai-hackathon

This project helps data scientists and machine learning engineers develop top-performing solutions for AI hackathons and data science competitions. It takes raw competition datasets as input and produces a highly optimized machine learning model, specifically a stacked XGBoost model, that achieves high scores on public and private leaderboards. It's designed for individuals and teams participating in competitive data science challenges like those on platforms such as Dacon.

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