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What is Air Quality Analysis and Prediction about?

This document discusses a project focused on air quality analysis and prediction using machine learning models. It highlights the importance of integrating various data sources, including historical pollution and weather data, to forecast air quality levels, particularly PM2.5. The research methodology involves data collection, preprocessing, feature selection, model development, and validation, ultimately demonstrating that machine learning models, especially Random Forest, outperform traditional forecasti

Author

Editor IJTSRD

Language

EN