[Toenex]

Probably a better thing to do would be to download one of the many excellent open source libraries and explore how they work. You can then even contribute back. Many open source projects would really benefit from new users contributing to documentation for a start.

[MeghdeepRay]

Could you name a few such open source projects ?

[dagw]

scikit-learn is a production ready library that has some very well commented and easy to read source code.

https://github.com/eriklindernoren/ML-From-Scratch is an easy to understand understand implementation of some the basic ML algorithms built from first principles and aims for readability over performance.

[MeghdeepRay]

I was asking about the ones which don't have very good documentation and are in need of contributors.

[nl]

I find that the XGBoost documentation is pretty lacking.