The dataset used in this project contains the following columns: datetime: Timestamp of the data.; main_aqi: Main Air Quality Index.; components_co, components_no, components_no2, components_o3, ...

The project involved building a machine learning model to predict the Air Quality Index (AQI) based on various features such as temperature, humidity, and various pollutant levels. Data Collection: We ...

Because of the dramatic increase in particulate matter in the air, air quality prediction is a significant activity in many urban areas. The primary causes of air pollution are the combustion of ...

Machine learning model helps forecasters improve confidence in storm prediction Accurate predictions of events like tornadoes and hail four to eight days in advance ...

The proposed Machine Learning (ML) model is promising in prediction context for the Delhi AQI. The results show improvement of the prediction accuracy and suggest that the model can be used in other ...