As part of the Swiss Data Science Center, the innovation team contributes to the objective of enabling data-driven science and innovation for societal impact. We partner with companies, public sector and not-for-profit organizations to deliver impactful solutions which will result in better decision making.
Visit the SDSC website to learn more, or visit other SDSC organizations on GitHub:
Cookiecutter template for a data science project in Python
Python 4
Example based explainable AI (XAI) for decision tree based ensemble methods. Training datapoints that the model bases its prediction on are identified by measuring the number of leaves in common be…
Jupyter Notebook
Extract features from OpenStreetMap as GeoTIFF for Switzerland
Jupyter Notebook
Example based explainable AI (XAI) for decision tree based ensemble methods. Training datapoints that the model bases its prediction on are identified by measuring the number of leaves in common between the prediction of a test sample and samples in the training set.
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