This project applies the K-Nearest Neighbors (KNN) algorithm for air quality prediction. The model takes environmental factors such as temperature, humidity, and air pollutant concentrations as input and predicts future air quality conditions. The project also includes data visualization to display predicted air quality trends over time, which can help cities manage pollution more effectively.
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