This repository contains a collection of basic tools for understanding the concepts of unsupervised and supervised learning. These tools are built from scratch, providing a hands-on approach to learning machine learning concepts.
The repository includes:
- Supervised Learning Tools
- Unsupervised Learning Tools
Each tool is accompanied by a detailed explanation and usage examples.
The tools and concepts in this repository are based on the teachings of Andrew Ng's Machine Learning course on Coursera.
To get started with these tools, clone the repository and install the necessary dependencies.
Contributions are welcome. Please submit a pull request or open an issue to discuss the changes you want to make.
This project is licensed under the MIT License - see the LICENSE.md file for details.