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Prediction and Analysis of Air Pollution Using Machine Learning

Publication Type : Journal Article

Publisher : Springer Link

Url : https://doi.org/10.1007/s42979-022-01383-8

Campus : Kochi

School : School of Arts and Sciences

Year : 2022

Abstract : Air pollution is one of the most dangerous forms of pollution. We aim to find the pollution prediction and the air quality in Kerala, India. Through this paper, machine learning algorithms such as ridge regression, linear regression, random forest regression, LASSO regression, and elastic net regression are opted for analyzing and predicting air quality. This analysis helps to dissect how it will be beneficial to industrial sectors in the conversion of pollutants into a useful by-product.

Cite this Research Publication : Murali, M., Satish, M. & Rajalakshmi, V.R. Prediction and Analysis of Air Pollution Using Machine Learning. SN COMPUT. SCI. 3, 483 (2022). https://doi.org/10.1007/s42979-022-01383-8

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