This repository provides cheat sheets for different supervised learning machine learning concepts and algorithms. This is not a complete tutorial, but it can help you better understand the structure of machine learning or to refresh your memory.
The content is presented in different formats:
- read the original article on Towards Data Science - click here;
- read on GitLab directly in the markdown format: full cheat sheet - click here or by chapters - click here;
- read the PDF version offline or print - click here
Download the PDF version of a supervised learning algorithms cheat sheet: click here.
The following algorithms are mentioned:
- Linear Regression
- Logistic Regression
- Support Vector Machines
- k-Nearest Neighbors
- Decision Trees
- Bagging and Pasting
- Random Forests and Extra Trees
- Boosting
- Stacking and Blending