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Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit

Translations: en


Speaker:: Antoine Toubhans

Track: PyData: PyData & Scientific Libraries Stack There are tons of tools to do data science. Too often, data scientists end up using a monolithic AI platform that “does everything by clicking on a UI”. In this talk, I will walk you through a pythonic and flexible ML experiment tracking system based on 1) GIT 🙂 2) [DVC]( (Data Version Control) to track the data 3) [Streamlit]( to build a data exploration app. I will quickly introduce the tools separately and then focus on how they can be combined together to build a tailor-made experiment tracking system.

Recorded at the PyConDE & PyData Berlin 2022 conference, April 11-13 2022. More details at the conference page: Twitter: Twitter:


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