Optimal machine learning techniques to predict air quality index

TL;DR

This work uses various ML algorithms to predict Air Quality Index (AQI), including ensemble methods such as bagging and boosting, and aims to identify the most efficient ML framework that is scalable and reusable for any city of choice.