inovex/machine-learning-tutorials

Jupyter notebook tutorials about fundamental machine learning algorithms

Machine learning tutorials

This repository contains implementations of basic machine learning algorithms in Python. All algorithms are implemented from scratch without using additional machine learning libraries. The intention of these notebooks is to provide a basic understanding of the algorithms and their underlying structure, not to provide the most efficient implementations.

• Bayesian Linear Regression
• Principal Component Analysis
• Support Vector Machines

The original repository containing many more ML algorithms can be found here.