aasu14/Data-Science-Hackathon-And-Competition

Curated collection of competition solutions spanning structured tabular data modeling, computer vision, and NLP tasks across multiple platforms. Solutions demonstrate diverse ML approaches including ensemble methods, feature engineering pipelines, and neural network architectures tailored to specific problem domains. Covers end-to-end workflows from EDA and preprocessing through model validation and submission formatting across hackathon environments.

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