Feliz por la oportunidad de presentar mi trabajo en las #JSInriaChile2023 . Agradezco a todas las personas que lo han hecho posible.

Always happy to be part of this great effort to improve the navigation of the open source ecosystem.

People underestimate how impactful Scikit-Learn continues to be.

Don't miss the opportunity, it's going to be better than ever!

Meet our speaker
Arturo Amor

He will give a talk on how to use content-based recommendation-system for the examples in sphinx-gallery

More info and tickets:
euroscipy.org/2023/

#EuroScipy2023 #Basel

#FUNconférence23 Arturo Amor clôt le talk sur les ressources éducatives libres avec scikit-learn #sklearn #python #MachineLearning

A committed machine learning community. #MachineLearning #community

Bugfix release - scikit-learn 1.2.1 is out!

🔴 20 fixes
🟡 1 API change

More details in the changelog: bit.ly/3ZQfoSG

pip install -U scikit-learn
or
conda install -c conda-forge scikit-learn

Thanks again to all the contributors!

Thanks Julien Jerphanion for leading this bugfix release and improving our release workflow.

Thank you PyLadies Paris for the organization of these mentoring sessions into #opensource and scikit-learn 🟠🔵.

Big up to all the new contributors we mentored!

Thanks to our hosts for these 4 sessions: PyLadies Paris Hugging Face Criteo datacraft

You still have time to enroll! Don't miss this opportunity ;)

The #ScikitLearnMooc is for free! Join now here:

fun-mooc.fr/en/courses/mac…

#ScikitLearnMooc is open France Université Numérique! Let's go for 13 weeks / 36h online training with Jupyter notebooks and programming exercises to make #machinelarning #Datascience accessible with basic #python skills.
bit.ly/3fmUzZ0

Kaggle just released the results of the 2022 Machine Learning & Data Science survey. Check out the data here: kaggle.com/competitions/k…

Here's the library usage data. For the 6th year in a row, Scikit-learn is the #1 ML library and Keras/TF is the #1 Deep Learning library.

🗓️7 days before #ScikitLearnMooc start!
An online course on #MachineLearning #DataScience with scikit-learn
developers!
Duration: 13 weeks/36h
Course material is #opensource CC-BY
All ressources available on #github
To get ready register France Université Numérique
bit.ly/3fmUzZ0

I am now a member of scikit-learn!

My presentation of the #ScikitLearnMOOC on the satellite event 'Teaching Machine Learning' at the ECML is now available on YouTube. Watch it till the end for a big surprise!

youtube.com/watch?v=r8KLIp…

I just got my second FEA merged to scikit-learn! I am really happy to contribute :)

Don't miss the opportunity, sign up here for free!

Next week is going to be our #TeachML satellite event on Tue, Sep 13, 12:45pm UTC on zoom. We will have the great Lorena Barba @[email protected] and Arturo Amor of scikit-learn to share their experiences in teaching. Please join! More details:
notes.desy.de/-yxvasxzQPWO1i…