QGIS Processing plugin to add an algorithm for upserting features from a source vector layer to an existing target vector layer.

Machine learning codes are usually laden with far too many complexities (hyperparameters, preprocessing and right things coded in wrong places ...). I am on a mission to untangle ML code by logically separating work flow and creating a re-usable framework that you can easily apply to your machine learning tasks involving any type of data.

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An ETL in a Pure Python single script, service oriented, to make a request and download, unzip, extract, parse csv, normalize dataset and retrieve data as json