[scikit-learn] Documentation proposal

Jacob Schreiber jmschreiber91 at gmail.com
Wed Jun 14 12:04:05 EDT 2017

Hi Gael

Thanks for the work! We are grateful for the work that other people do in
providing these types of tutorials and introductions as they lower the
barrier of entry for new people to get into machine learning. We generally
don't include these in the official sklearn documentation, in no small part
because it would be a time sink to decide from which among a large group of
tutorials should be included. That being said, perhaps we should consider
having a 'related tutorials' page similar to the 'related work' page,
serving as an aggregation of links?


On Mon, Jun 12, 2017 at 12:17 PM, Gaël Pegliasco via scikit-learn <
scikit-learn at python.org> wrote:

> Hi,
> First of all, thanks to all contributors for developping a such rich,
> simple, well documented and easy to use machine learning library for Python
> ; which, clearly, plays a big role in Python world domination in AI !
> As I'm using it more and more these past month, I've written a french
> tutorial on machine learning introduction:
>    - The Theory (no code here, only describing AI with Python and machine
>    learning concepts with real examples):
>    https://makina-corpus.com/blog/metier/2017/initiation-
>    au-machine-learning-avec-python-theorie
>    <https://makina-corpus.com/blog/metier/2017/initiation-au-machine-learning-avec-python-theorie>
>    - The Practice (using Scikit-Learn)
>    https://makina-corpus.com/blog/metier/2017/initiation-
>    au-machine-learning-avec-python-pratique
>    <https://makina-corpus.com/blog/metier/2017/initiation-au-machine-learning-avec-python-pratique>
>    Another iris tutorial, but with much more details than most I've read
>    using this database and using both supervised and unsupervised learning
> I've received a few positive returns regarding these 2 articles and others
> requests to translate it into english.
> I think that as to translate it into english, you may find it useful to
> include it into Scikit-Learn official documentation/examples ?
> So, if you think it can be useful I could work on it as soon as next week.
> Anyway, any feedback is welcome, especially because I'm not an expert and
> that it may not be error safe!
> Thanks again for your great work and keep going on !
> Gaël,
> --
> [image: Makina Corpus] <http://makina-corpus.com>
> Newsletters <http://makina-corpus.com/formulaires/newsletters> |
> Formations <http://makina-corpus.com/formation> | Twitter
> <https://twitter.com/makina_corpus>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20170614/4b15230d/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: bchbbdhibcpoljao.png
Type: image/png
Size: 6215 bytes
Desc: not available
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20170614/4b15230d/attachment.png>

More information about the scikit-learn mailing list