AirPollution The dataset is about Air Pollution in Skopje - Center - Republic of Macedonia. The goal is to predict the PM10 concentration using the weather-meteorological data. The features are explained in Data_Info (some of them are removed). Dataset is modeling in Jupyter with Python. Implementation with sklearn. Several models (simple linear regression, multiple regression, polynomial regression degree 2 and 3 and dummy regressor).Evaluation of error is made with different accuracy measures MAE,MSE,RMSE and R2.Also different techniques for cross-validation is used.