Comments (8)
I believe we could also better emphasize on the packaging and maintenance efforts.
I am worried Wikipedia is the place for this and we should refrain ourselves from using Wikipedia to promote scikit-learn but keep a very neutral, informative tone. The Wikipedia page of scikit-learn does not belong to the scikit-learn project.
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But it's true that the contents of this page deserves an update and corrections:
French Institute for Research in Computer Science and Automation in Rocquencourt, France
For instance, the Inria Parietal team started in Saclay and was never based in Rocquencourt as far as I know.
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But it's true that the contents of this page deserves an update
Also, it's currently very short with little on it. This gives the impression of a project that is minor, not very active, and not very used. It's important that we convey more dynamism (actor such as Microsoft use this impression on scikit-learn to convey the message to decision makers that it is a dead projects, and that they should focus on AzureML, I've seen this happening just yesterday in a private meeting)
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Wikipedia is legit and an open source project. The number of users is staggering. It is considered a credible source by many users, including Funders!
Also, it's super important to keep in mind that people who make funding decisions or doing research on potential projects to fund are not often users of the tool, and so even if scikit-learn is the number 1 python machine learning library, not everyone knows that. (Another reason why open source projects suffer from lack of funding.)
scikit-learn doesn't need to own the page to utilize and benefit from it. It's referred to as "earned media", which is quite beneficial.
scikit-learn is 10+ years old and our blog is < 1 year old. An important question to ask is how would everyone (or maximum number of people) hear about it?
Example: we don't own NY Times, or other sites, yet if they were to publish about scikit-learn (or in my case, Data Umbrella), it's incredibly valuable.
I recommend checking out these videos:
- [How Data Scientists Can Contribute to Wikimedia Projects] (https://youtu.be/mrHp3wc_6DQ)
- [Editing Wikipedia: Because Someone Has to... ] (https://youtu.be/s5kUSMUaZLM)
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In the meantime, we should also add any Press links that people know of in a list here to add as references.
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Alright - I've gone through any and all pages that refer to or link to scikit-learn. I corrected any missing links on any referencing scikit-learn, updated any sklearn references to scikit-learn, and corrected the spelling to all be aligned with the lowercase name.
There were a few missing links on some pretty high-visibility pages, hopefully that addition will be helpful.
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Related Issues (20)
- Promote Reshama's keynote at PyData Berlin HOT 2
- add Chiara's Paris PyLadies video talk to playlist HOT 1
- 1.1 Release HOT 3
- 50,000 github stars soon HOT 1
- Announce Community Office Hours HOT 1
- Promote series of tutorials on text analytics HOT 2
- Share on social media: blog on "The Value of Open Source Sprints, the scikit-learn Experience"
- celebration post: 10K LinkedIn followers soon
- Branding Guidelines HOT 3
- announce Meekail on social media HOT 1
- share swag store on social media HOT 2
- Announce blog post about Hugging Face and scikit-learn HOT 1
- Update social media header and logo pictures HOT 3
- Creating a Mastodon account HOT 7
- Contributor and Team Member Feature Series
- Social Media Assets/Templates HOT 5
- All contribution recognition
- Improve the place-holder page at the ".com" domain
- No test scores when using Pipeline in GridSearchCV HOT 2
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