Air pollution is a critical environmental issue affecting the health and well-being of millions of people globally. In this challenge, your task is to predict the concentration of PM2.5 (particulate matter with a diameter of less than 2.5 micrometers) or PM10 for the next 10 days based on historical air quality data. Predicting these levels will help monitor and manage air quality, allowing for timely interventions.

This competition is designed to leverage machine learning techniques to forecast air quality using a rich historical dataset of air pollution measurements. Participants will be provided with hourly measurements of various pollutants and weather conditions over a period of time. Using this data, your goal is to predict the PM2.5  levels for a specific range of future dates(every hour of day starting from 0:00 to 23:00 for 11 days )