Your goal is to predict hourly PM2.5 concentrations for the next 11 days. You will be provided with historical air quality data from multiple sensors measuring pollutants like NO2, SO2, CO, Ozone, and weather-related features such as temperature, wind speed, and humidity.

Training Data: The training dataset consists of historical air quality measurements recorded every hour over a certain period. The dataset contains various air quality indicators, weather data, and timestamps (From Date, To Date, and Hour) when the measurements were taken.

Test Data: The test data contains a timestamp (date and hour) for each of the next 11 days, starting from the day after the last record in the training data and for each hour from (00:00 to 12:00 and 12:00 to again midnight 00:00). Your task is to predict the PM2.5 values for each hour in the test dataset.