This repo contains my notes and implementations of basic machine learning algorithms (KNN, Random Forest, Neural Networks etc.).
Almost all codes are implemented with python, numpy and pandas. There may be more than one implementation version of an algorithm.
Each fold contains a README file, which explains the principle of the algorithm in detail. Since Tex formula in github markdown does not look well, I use png instead (except KNN README file).
If you have a better way to display a formula in github markdown, please tell me by opening an issue. 😄
- python 3.x
- numpy
- pandas
- matplotlib (not necessary)