Implementation of Machine Learning Algorithms for Analysis and Prediction of Air Quality

Abstract

In this paper, the implementation of Machine Learning algorithms, Random forest (RF), Support vector machine (SVM), and, Artificial neural networks (ANN), have been discussed. Today air pollution is one of the biggest environmental issues in the world. It poses a major threat to health and climate. Air quality in cities is deteriorating day by day. Pollutants in the air also impact both water and land quality. This paper presents how machine learning algorithms can be used to analyze and predict the quality of air. Machine learning algorithms provide us the methods to forecast the air pollution levels so that preventive measures can be taken by the people in order to minimize air pollution.

Topics & Concepts