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Kaggle Academic Competition | Oct 2025 – Dec 2026
- Developed an end-to-end machine learning pipeline to predict daily cinema audience turnout
- Conducted EDA on structured datasets, handling missing values, categorical encoding, and outlier treatment
- Applied feature engineering techniques to improve model generalization
- Trained and evaluated multiple regression models using Scikit-learn
- Strengthened understanding of model performance metrics, error analysis, and real-world data challenges
GitHub
