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future-forecasting

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Data-driven Air Quality Index (AQI) analysis project featuring ETL, data warehousing, Power BI dashboards, and machine learning models (Random Forest & XGBoost) to identify pollution trends, analyze influencing factors, and predict future AQI levels.

  • Updated Jul 5, 2026
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