Nelvinebi / Water-Quality-Index-Prediction-Using-ML-XGBoost-RF-LSTM-Links
This project applies Machine Learning (XGBoost, Random Forest) and Deep Learning (LSTM) to predict the Water Quality Index (WQI) using synthetic environmental data, helping assess water safety, support sustainable management, and demonstrate AI’s role in environmental monitoring and decision-making.
☆10Updated 2 months ago
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