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Urban Taxi Travel Time Intelligence (UTTI) A data science and machine learning project that builds an end-to-end pipeline for analyzing and predicting NYC taxi travel times using PostgreSQL, exploratory data analysis, and gradient boosting models (LightGBM). Focuses on realistic evaluation, uncertainty estimation, and production-ready ML practices.
python data-science machine-learning sql time-series pipeline postgresql regression eda lightgbm mobility-data log1p
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Dec 22, 2025 - Python
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