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A machine learning project to forecast PM2.5 air pollution levels. Includes preprocessing, feature engineering (lags), baseline + ML models, and evaluation with MAE/RMSE/R² to select the best model

www.kaggle.com/datasets/yekenot/air-quality-monitoring-in-european-cities/data

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predicting airpollution
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