Dataset created for machine learning and deep learning training and teaching purposes. Can for instance be used for classification, regression, and forecasting tasks. Complex enough to demonstrate realistic issues such as overfitting and unbalanced data, while still remaining intuitively accessible. ORIGINAL DATA TAKEN FROM: EUROPEAN CLIMATE ASSESSMENT & DATASET (ECA&D), file created on 22-04-2021 THESE DATA CAN BE USED FREELY PROVIDED THAT THE FOLLOWING SOURCE IS ACKNOWLEDGED: Klein Tank, A.M.G. and Coauthors, 2002. Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. Int. J. of Climatol., 22, 1441-1453. Data and metadata available at http://www.ecad.eu For more information see metadata.txt file. The Python code used to create the weather prediction dataset from the ECA&D data can be found on GitHub: https://github.com/florian-huber/weather_prediction_dataset (this repository also contains Jupyter notebooks with teaching examples)