This project does not require any installation. It is a web-based learning platform that can be accessed through a web browser.

The website is divided into two main sections: ML Theory and ML Practice. Users can navigate to the desired section by clicking on the corresponding button on the homepage.

The ML Theory section covers the theoretical concepts of machine learning, such as neural networks, Bernoulli distribution, and linear algebra. The ML Practice section focuses on coding machine learning algorithms from scratch in Java, including topics like tokenization, autoregressive models, deep learning, and more.

The website is designed to be self-paced, with code examples, practice exercises, and the ability to download source files for further exploration.

This is a static website and does not provide any API.

This project is open-source and contributions are welcome. If you find any issues or have suggestions for improvements, please use the Discord server provided on the website.

This project is licensed under the MIT License.

There are no automated tests for this project. However, users are encouraged to try the code examples and provide feedback on the Discord server.