Almost a year after @probabl.ai’s launch, I am proud to share this significant step towards helping data scientists improve their efficiency while reducing the cognitive load. Stay tuned, this is only the beginning!

My dream for 2025: Help data scientists focus on statistical thinking rather than implementation details. With #skore, we're extending scikit-learn to keep the path clear between methodology and code. #datascience #scikitlearn

Rather than predictions, here are my professional wishes for 2025—shaped by a year of profound learning, building mission-driven @probabl.ai and data science commons with and around @scikit-learn.org, and engaging with brilliant minds, both enthusiastic and concerned about AI: #openness

i see the future and it's beautiful

A new version of skrub is out! skrub 0.4.1 fixes some issues with the TableReport and the tabular_learner, fills some gaps in the documentation, and ensures compatibility with the latest scikit-learn version (1.6). Changelog: skrub-data.org/stable/CHANG...

I am thrilled to announce that I passed the Scikit-learn Associate Practitioner Certification! Passing the test was a reminder of how rich scikit-learn is and how fascinating data science can be! This gives me perspective on what we ought to do with skore. www.credly.com/badges/7cc82...

Portrait à lire de notre estimé collègue @gaelvaroquaux.bsky.social, co-créateur de @scikit-learn.org et co-fondateur de @probabl.bsky.social: www.lemonde.fr/sciences/art...

Bringing structure and recommended practices to Machine Learning projects can be challenging. Even experienced data scientists struggle with it. That's why we built skore – your companion when modeling with scikit-learn. Check it out and let us know what you think! github.com/probabl-ai/s...