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Analysis Study Research Paper | Computer Science | India | Volume 12 Issue 1, January 2023

Determining the Air Quality Index of Indian Cities Using Machine Learning

Rishit Garg

Abstract: In this paper, I have applied the concepts of machine learning (ML) and regression analysis for determining the Air Quality Index (AQI) of various Indian cities during the period of 2015 to 2020. The article starts with a brief introduction to machine learning and its types, and then discusses the basic steps to train an ML model ? missing values treatment, encoding, model training and testing. The dataset used in this paper has more than 10 attributes and the target variable ? the AQI score. These include PM2.5, PM10, NO, NO2, NH3, CO, SO2, O3, Benzene, Toluene and Xylene. The paper also highlights the impact of these attributes on the health of human beings. The XG Boost regressor model was trained using the dataset and 5 different random states were considered for testing the model?s consistency. An average R-squared value of 0.9318was calculated for the trained model.

Keywords: Machine learning, Regression, Air quality, XGBoost

Edition: Volume 12 Issue 1, January 2023,

Pages: 126 - 130