US Air Pollution Time Series Analysis GitHub

Summary

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Applied time-series analysis techniques to the US pollution dataset, by focusing on significant pollutants. Leveraged advanced time-series forecasting approaches (SARIMAX, LSTM) to predict future air pollution trends in California, providing valuable data-driven insights for environmental monitoring and strategic decision-making.