Drinking water potability prediction using machine learning approaches: a case study of Indian rivers

Drinking water potability prediction using machine learning approaches: a case study of Indian rivers

Drinking water is the most precious resource on Earth. In the past few decades, the quality of drinking water has significantly degraded due to pollution. Water quality assessment is paramount for the well-being of the people since the presence of pollutants can have serious health issues. Particula...

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Bibliographic Details
Main Authors:	Bharati Ainapure, Nidhi Baheti, Jyot Buch, Bhargav Appasani, Amitkumar V. Jha, Avireni Srinivasulu
Format:	Article
Language:	English
Published:	IWA Publishing 2023-12-01
Series:	Water Practice and Technology
Subjects:	knn machine learning neural networks predictive analysis water quality index xgboost
Online Access:	http://wpt.iwaponline.com/content/18/12/3004

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