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
* The Practice (using Scikit-Learn)
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,
--
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