Published Paper Details:

Due to human activities, industrial enterprise, and urbanization air is obtaining contaminated? The most important air pollutants square measure CO, NO, C6H6, etc. The concentration of air pollutants in close air is ruled by meteorologic parameters like part wind speed, wind direction, relative humidity, and temperature. Earlier techniques like chance, Statistics, etc. were wont to predict the standard of air, however, those strategies square measure terribly complex to predict, Machine Learning (ML) is that the higher approach to predict the air quality. With the requirement to predict air ratio by considering varied parameters like CO, Tin oxide, non-metallic hydrocarbons, Benzene, Titanium, NO, Tungsten, atomic number 49 compound, Temperature, etc., the approach uses regression (LR), Support Vector Machine (SVM), call Tree (DT), Random Forest technique (RF) to predict the Relative humidity of air and uses Root Mean sq. Error to predict the accuracy