Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

Air Quality security has gotten one of the foremost fundamental exercises for the administration in numerous mechanical and concrete zones in today’s world. The meteorological and traffic factors, consuming crude oil derivatives and mechanical parameters perform critical jobs in air contamination which make an adverse effect on living beings. With this expanding pollution on the earth, we also had different executing models that can record data about centralizations of air pollutants (SO2, NO2, etc.). The affidavit of those unsafe gases is noticeable all around; is influencing the character of individuals’ lives, particularly in urban territories. Of late, numerous specialists began to study about this concern and mentioned several measures to manage these conditions with the assistance of the presidency and native people. Data Analytics is a leading approach as it includes natural detecting systems and sensor information accessible. Machine Learning strategies are utilized to predict the ratio with relation to other components present in the earth’s atmosphere. Various regression models are used to predict the air quality and their relative effects.

Keywords: Air Quality Index, Machine Learning, Air Pollutants, Adverse Effects, Parameters, Air Quality prediction, Air Pollution, Linear Regression, Regression Analysis.