Skip to main content
EuroPythonCode of ConductBuy tickets

Inspect and try to interpret your scikit-learn machine-learning models

Wicklow Hall 2A
08:30 on 12 July 2022
180 minutes


This tutorial is subdivided into three parts.

First, we focus on the family of linear models and present the common pitfalls to be aware of when interpreting the coefficients of such models.

Then, we look at a larger range of models (e.g. gradient-boosting) and put into practice available inspection techniques developed in scikit-learn to inspect such models.

Finally, we present other tools to interpret models, not currently available in scikit-learn, but widely used. in practice.

TutorialPyData: Machine Learning, Stats

The speaker

Guillaume Lemaitre

I am a research engineer. I have a PhD in computer science and have been a scikit-learn core developer since 2017.

← Back to schedule