❄️ The Christmas release is out ❄️
Discover scikit-learn 1.6 and its:
🟢 2 major features & 34 features
🔵 5 efficiency improvements & 21 enhancements
🟡 14 API changes
🔴 30 fixes
👥 160 contributors
https://t.co/fnoPYTMvla
scikit-learn 1.5.2 is out!
It fixes several regressions introduced in version 1.5
More details in the changelog:
https://t.co/dTYwAq3BTm
You can upgrade as usual:
pip install -U scikit-learn
conda install -c conda-forge scikit-learn
Thanks to all the contributors!
The 2024 scikit-learn user survey is out!
Please join this structured dialogue with the scikit-learn team to better guide and prioritize decision-making about the development of the project:
https://t.co/VZdaNzRGMk
🌎 We have the survey available in these languages: Arabic, English, French, Japanese, Mandarin, Portuguese, Spanish.
⏱️ The survey will take about 15 minutes of your time and close on September 27th, 2024.
Scikit-learn has been awarded a CZI-EOSS grant for cycle 6! 🎉 With this funding, we'll improve tools for predictive model evaluation and inspection. Read all about it here: https://t.co/3nlOU2XXpO 📝 A big thank you to @chanzuckerberg and @wellcometrust! #OpenScience
🔴 22 fixes
📢 bugfix release - 1.4.1.post1 is out!
You can upgrade with pip as usual:
pip install -U scikit-learn
or using the conda-forge builds:
conda install -c conda-forge scikit-learn
Thanks to all the 59 contributors!
More details: https://t.co/GxZRVQkbxQ
About 7000 joined #ScikitLearnMooc already🎉
✔️ A free Machine Learning course taught by @scikit_learn core developers and #opensource!
💻 70+ Jupyter notebooks hosted by @OVHcloud_FR , 24 quizzes, 21 training exercises & solutions. Register now at https://t.co/c5z9El3Yp9