Analogy of H2O Ranking and Its Stratification Using the SVM and XGBoost Method

Abstract

Water is an important part of human beings and the living society. Over the years, air and water pollution have contaminated water in various ways. This makes the content unhygienic and harmful to drinking and society. The traditional method of water purification is expensive, and it involves a lot of unnecessary time, with the outcome of the results not up to the accuracy. My proposed system of thesis system is to develop a classification of the water quality using the Gradient boosting classifier. My research involves considering the various parameters of H₂O, including the ph, dissolved oxygen, Total Dissolved Solids(TDS), and temperature, which are predominant for the ranking of water contents.