dralexbevan/water-quality-prediction-catboost-time-series

Part of EY Challenge 2026 to create ML water quality predictor for South Africa. Involved 9K samples across 162 stations. I worked with time series models for EDA and XGBoost and CatBoost for the final model. Achieved an average Rsq 26% locally and 12% in comp across three target parameters (domain specific norms hover between 20 to 30).

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No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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MIT

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water-quality-prediction

Last pushed

Mar 19, 2026

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Water Quality Prediction · 84 frameworks

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