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Climate Data Downscaling using ML Methods for interTwin Project

End-to-end RSS news classification app using Spark MLlib, Kafka, Flask/RxJS

Open source backend code developed and publicly delivered as part of the IDEE project.

Parallelized computation, publication and analysis of climate indices from climate projections time-series.