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water-quality-modeling

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SynapticSage / 2022-LISH-Harvard-DatascienceCompetition

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Lab for Innovation Science at Harvard data science competition. My solution scored around the top 15. I had planned to try other things, but I used only 1/3 of the allowed competition time -- and hence did not explore advanced feature engineering in the winning solutions. But interestingly, this solution was similar to winning solutions.

data-science competitive-programming-contests water-quality-modeling
  • Updated May 17, 2022
  • Jupyter Notebook

Data-pageup / RippleWorks

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A machine learning system that predicts Water Quality Index (WQI) and Water Quality Classification (WQC) using engineered water-quality features. The project includes full preprocessing with missing-value handling, outlier treatment, dynamic WQI calculation, and both regression and classification modeling powered by XGBoost and Scikit-learn.

regression xgboost classification water-quality-modeling environmental-analysis
  • Updated Oct 17, 2025
  • Jupyter Notebook

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