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Euroscipy Tutorial Code for ML Reproducibility

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Description

I published the tutorial on machine learning reproducibility for science on my blog.

A collection of "easy wins" to make machine learning in research reproducible.

This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.

The Jupyter Notebooks are readily available on github.

Visit Site Fork on Github See also: Speaker Presentation