scikit-learn
@scikit_learn · joined 17 Aug 2010
Easy-to-use and general-purpose machine learning in Python
22 690Followers
6Following
18 274Posts total
26.5KViews on collected posts
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Find scikit-learn here, on our most active platforms:
• LinkedIn: https://t.co/EY6li0DjL2
• Bluesky: https://t.co/SFRoKrKhvM
• Mastodon: https://t.co/olWDRW3O2G
2K views · 8 likes
· 1 reposts · 0 replies
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You can upgrade with pip as usual:
pip install -U scikit-learn
Using the conda-forge builds:
conda install -c conda-forge scikit-learn
1.7K views · 4 likes
· 0 reposts · 0 replies
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More details in the changelog: https://t.co/w9l33wYUoP
1.1K views · 0 likes
· 0 reposts · 0 replies
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❄️ 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
4.7K views · 37 likes
· 11 reposts · 3 replies
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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!
3.7K views · 52 likes
· 11 reposts · 1 replies
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📝 A survey results report and anonymized dataset will be publicly released by the end of 2024.
2.4K views · 4 likes
· 2 reposts · 0 replies
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🌎 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.
2.6K views · 3 likes
· 2 reposts · 1 replies
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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
4.8K views · 25 likes
· 15 reposts · 1 replies
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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
3.5K views · 34 likes
· 6 reposts · 2 replies
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Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3.5K27 Aug
4.8K
2.6K
2.4K
3.7K12 Sep
4.7K20 Dec
1.1K
1.7K
2K27 Feb
Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.21%27 Aug
0.86%
0.23%
0.24%
1.74%12 Sep
1.12%20 Dec
0.00%
0.23%
0.44%27 Feb
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes70.2%167 in total
Reposts20.2%48 in total
Replies3.4%8 in total
Quotes0.4%1 in total
Bookmarks5.9%14 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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