Predictive Modeling of Environmental Sustainability: Analyzing Water Quality and Waste Management Systems in the USA Using Machine Learning

The issue of environmental sustainability is a challenge to the US government and the entire world. Among all the critical areas that require immediate attention, two areas are water quality and waste management. Recent developments in machine learning offer new ways to analyze and predict environmental outcomes for data-driven policy-making and optimization of resources. This research paper presents predictive modeling for environmental sustainability, focusing on water quality and waste management systems in the United States. This research paper explores advanced techniques of Machine Learning, identification of indicators, development of predictive frameworks, and actionable insights to enhance environmental health and improve waste management efficiency.