Hello there! Seems like you came across my learning repo for ML. Well, fear no more! (actually, do fear cuz this repo is a bit messy). I've tried to structure it as best as i could, so here's a mini-map:
| Folder | Contents |
|---|---|
ML/ |
Examples covering classification, decision trees and Random Forest, evaluation, optimization, and neural networks. |
NLP/ |
Text processing exercises |
Exercitii/ |
Practice with NumPy, Pandas, and ML algorithms |
Probleme/ |
General problems, olympiad problems, etc. |
Laboratoare/ |
Some labs i've solved (more are soon to come!) |
datasets/ |
Input data |
rezultate/ |
Output data from problems |
The problems i've solved can be found either on Nitro-AI Judge, Kaggle or SlopeCompete.
I'm currently working on writing a few ML problems and introductory courses, so stay tuned! They will be available on the Nitro Learning Hub! Until then, happy coding :)