This project consists of the development of a Machine Learning model that is capable of predicting the AQI or the Air Pollution Level for a given day. You must start with the data set of one of the monitoring sites and then, if possible, extend the study to the other monitoring sites.

Sep 19, 2019 · This hourly data set considers 6 main air pollutants and 6 relevant meteorological variables at multiple sites in Beijing.

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The dataset used in this project is "Beijing Multi-Site Air-Quality Data" from the UCI Machine Learning Repository.This data set includes hourly air pollutants data from 12 nationally-controlled air-quality monitoring sites.

Data for this analysis was obtained from UCI Machine Learning Repository. The data set includes hourly air pollutants data from 12 nationally-controlled air-quality monitoring sites.

In conclusion, as a result of future analysis needed for solving PM 2.5 issues in China, we collect weather and air quality data, and make models based on RNN to predict PM 2.5 concentration …

This table contains air quality data for Beijing from multiple sites, including measurements for PM2.5, PM10, SO2, NO2, CO, O3, temperature, pressure, dew point, rainfall, wind direction, and wind speed.

Nov 10, 2023 · Beijing Multi-Site Air-Quality Data数据集首次发布，旨在提供北京市多个监测站点的空气质量数据，以支持环境科学研究和政策制定。

This table contains air quality data for Beijing from multiple sites, including measurements for PM2.5, PM10, SO2, NO2, CO, O3, temperature, pressure, dew point, rainfall, wind direction, and wind speed.

This data set is from https://archive.ics.uci.edu/ml/datasets/Beijing+Multi-Site+Air-Quality+Data and includes hourly air pollutants data from 12 nationally-controlled air-quality monitoring sites.