Water Quality Dataset for Machine Learning Application

This dataset includes physicochemical and biological parameters such as Dissolved Oxygen (DO), Ammonia, Hardness, Temperature, Alkalinity, Conductivity, Biochemical Oxygen Demand (BOD), Color, Orthophosphate, and pH. These features are collected from diverse water sources, including rivers, lakes, and groundwater, making the dataset suitable for machine learning tasks like regression and classification in Water Quality Index (WQI) prediction and multi-standard water quality assessment.