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I can relate to this a lot. The lessons of finding one's way in chaotic situations and learning not to fear them in particular did carry over into real life along with several other lessons.


It's the difference between "knowing" something is a good idea and actually comprehending why since you've seen it executed successfully and understand the consequences for and against that idea. Now you understand the core concepts and don't just "know" it because it's "common sense". Huge difference.


Could you name a few such open source projects ?


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.


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


I find that the XGBoost documentation is pretty lacking.


Source please ?


Was it just a texas hold em ? Or a variation of it ? I assume being a hackathon it wasn't a vanilla texas hold em. Could you provide some more details and maybe the code ? After seeing this I'm interested to know what else you've done.


So we wanted to learn/play with react native. The project idea was to play a hand of poker online randomly against someone in less than 30 seconds. The fun part is you can only fold or go all-in : )


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