/air-quality-forecasting-model

Build an accurate air quality forecasting model

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air-quality-forecasting-model

  • Implementation of various baseline algorithms (Linear Regression, Vector Auto-Regression, LightGBM and Random Forests) to compare multi-step ahead forecasts of air quality with DCRNN as part of the paper "Exploiting spatiotemporal patterns for accurate air quality forecasting using Deep Learning".
  • Data set includes information of monitoring stations in Los Angeles