Abstract
Due to variables that can harm human health, including industries, urbanization, population growth, and vehicle use, the level of pollution is rising quickly. To deal with the air pollution and identify which area is highly polluted the prediction models are important. We can predict the condition of the air quality and the amount of pollutant present in the environment with the help of machine learning model. The linear regression, ridge, and lasso machine learning models were employed in this study. The Linear Regression model outperforms the Ridge and Lasso model, as shown by our analysis using the root mean square error.
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