REVIEW PAPER ON PREDICTION OF WATER QUALITY PARAMETER USING MACHINE LEARNING

Surface water pollution become a nuisance for humankind as river fulfill requirement of major population and traditional method quality assessment evaluation is inadequate in this era. So using advance machine learning prediction surface proves to be helpful prevent future accident. As we seen many recent studies approach better accuracy less labor optimize its overall results. It’s essential review the which used Machine Learning algorithms prediction, analysis, different models these environmental conditions. are superior handle such complex non linear data parameters with greater accuracy, reliability, cost-effectiveness efficiency considered great tool Water Quality monitoring, projects help lawmakers policy. In report reviewed around 17 research papers uses from journal concise it covers structure study, datasets used, methodology performance, environment susceptibility, comparative analysis assessments progress research. For management control treatment, study will understanding analyzing paper application. We can conclude that on model context vulnerability, observing increasing years require more field. Finally, provides breakthrough Engineering Management give new direction fore coming fortified scope also gives implementation studies.