├── CLUSTE~1.CSV ├── Clustered_Water_Quality_Categories.csv ├── Code ├── Excellent_WQI_Table.csv ├── Good_WQI_Table.csv ├── Normalized_Water_Quality_Data.csv ├── Poor_WQI_Table.csv ├── Poster Abstract ├── README.md ├── TOPSIS_Ranking_of_Water_Safety.csv ├── Template ├── Very_Poor_WQI_Table.csv ├── Water_Quality_Data_with_WQI.csv ├── Water_Quality_Index_Results.csv ├── Water_Quality_ML_Analysis.py ├── Water_Quality_ML_Workflow_Flowchart.docx ├── explainable_ai_water_quality.py ├── output (13).png ├── output (14).png ├── output (15).png ├── output (16).png ├── output (17).png ├── output (18).png ├── processed_water_quality_data.csv └── random_forest_water_quality_model.pkl /CLUSTE~1.CSV: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pchukwuemeka424/A-Hybrid-AI-Model-Integrating-LSTM-XGBoost-for-Interpretable-Prediction-Clustering-of-Water-Quality/HEAD/CLUSTE~1.CSV 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