Machine learning-based classification of water potability using physicochemical properties. Includes preprocessing, model comparison, and ensemble learning techniques for improved prediction accuracy.
machine-learning sklearn xgboost data-analysis water-quality ensemble-learning classificaton potability
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Updated
Nov 2, 2024 - Python