Two years ago, I decided to start working on a Open Data guide for Python here Open Data SE
The idea was to collect with the help of the rest of the users all the possible file formats that an open data researcher will may need to work and add a Python library with an example.
It proved a success story for the Open Data since it is one of the most popular questions. As a result, I want to do a similar concept here in Data Science. But, I want your feedback if this will be accepted since I am not in this SE from the starting date.
I will create a question like the one in Open Data asking about different machine learning algorithms and in which cases it can be used. Then, I will start an answer which I update all the time with comments' feedback and stuff that I find.
I will use as a starter this post from Kaggle and populated with links from Wikipedia. Then, the idea is to find tutorials from each category and add them too. As a result, we will end up with a great resource for every Data Scientist. Newcome or old one.
What do you think?
EDIT: It looks that the Kaggle page has been removed. Since it was a nice one, I will add it again from web archive