The aim of this repository is to store all machine learning concepts I have acquired from my experiences, courses, projects, etc ... Some parts are shown through code (Mostly models) and some others are explained in text files.
I will be trying to keep a clear separation between all the concepts and update them regularly as I acquire more information.
Note: Most explanations are very summarized, the goal here is to quickly refresh your mind when looking up a concept and emphasizing on the use cases, benefits and drawbacks.
The md file structure is designed for seamless import into Obsidian.md
