Prediction Of Water Quality Using Machine Learning Algorithm

Human beings are dependent on the natural resources that stands for its quality. Climatic changes and environmental impacts have always been under observation. The quality of the products is always measured before use. Water, an inevitable resource, has got a serious significance in checking its quality due to the influence of various external factors like industrial effluents, acid rain etc. This paper provides a methodology for assessing the water quality that uses statistical quality control technique and Machine Learning algorithms to scale up the classification accuracy. The classification is focused on deciding if the water is suitable for drinking purpose.

Keywords: Random Forest, Gradient Boosting, GaussianNB, XGBoost.