Linear Regression Based Air Quality Data Analysis and Prediction using Python

Abstract

Air pollution is a major scenario in the urban areas. The need of analyzing air quality is becoming an important requirement over past years. Atmosphere contains various levels of pollutants which needs to be monitored constantly. The analysis of air quality data becomes seamless using advanced software techniques. In this paper, the analysis of air quality is carried out by the means of python platform where the historical air quality data analysis of Coimbatore city is implemented and the prediction of the air quality data using linear regression model. For the air quality prediction part, dataset collection, data cleaning, pre-processing and prediction are implemented. The air quality data is processed using inbuilt libraries for analyzing the data which are available in python environment. The work consist of two parts where the air quality data analysis is implemented along with the prediction of air quality data which is the Air Quality Index(AQI) class from the previous records available.