Beijing AQI Prediction
The deterioration of the air and the frequent occurrence of haze have drawn much attention in recent years. It has become critical to understand the pollution status and the change laws of air pollutants. Forecasting AQI (Air Quality Index) is becoming an essential demand for analyzing and predicting the trend of pollution levels. In this paper, a random forest algorithm is an approach to forecast the AQI level, and a simple website project based on this algorithm is implemented.