This project uses machine learning models like Random Forests and Gradient Boosting to predict air quality based on various environmental factors. The project includes data collection, cleaning, and applying different models to predict PM2.5 and PM10 levels. It aims to provide accurate and reliable air quality predictions for cities and urban planners to take action.
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