Weather prediction dataset
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Dataset created for machine learning and deep learning training and teaching purposes.<br> Can for instance be used for classification, regression, and forecasting tasks.<br> 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<br> 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<br> air temperature and precipitation series for the European Climate Assessment.<br> Int. J. of Climatol., 22, 1441-1453.<br> 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<br> (this repository also contains Jupyter notebooks with teaching examples) Versions: <strong>v3</strong>: added "light" version of the dataset with less features (only 11 locations and fewer variables, reduction from 163 to 89 features) --> This is meant to be used if training times for hands-on session is becoming an issues <strong>v2</strong>: now also contains additional `BBQ_weather` labels, the dataset itself has not changed between versions v1 and v2
