AML Labs 🎰

Hello! This is a lab repository for the University of Surrey's Applied Machine Learning Course. If you are a University of Surrey student, you are welcome to use this project as a learning resource and reference for your coursework. A simple credit to the OC (wee! that's me, Frank) would be greatly appreciated. However, please note that submitting this work as your own academic assignment is not permitted and may lead to academic misconduct penalties. Just make sure you're submitting your orignal work.

Setup

To get started, you'll need to install the dependencies. I'm using Poetry to manage the dependencies and Pyenv to manage the Python version. This repository is configured to use Python 3.10.7, which is specified in the .python-version file. You can install this Python version with pyenv install 3.10.7.

Directory Layout

amllabs
├── LICENSE
├── README.md
├── amllabs
│   ├── week1
│   ├── week2
│   ├── week3
│   ├── week4
│   ├── week5
│   ├── week6
│   ├── week7
│   └── week8
├── poetry.lock
└── pyproject.toml

License

This project is licensed under the GNU General Public License v3.0 (GPL-3.0). This means:

1. Attribution: You must give appropriate credit to the original author (me, Frank Lu) if you use or modify this project.
2. Non-Proprietary: Any derivative works or modifications must also be shared under the same license. This project cannot be used in proprietary or closed-source software.
3. Open Source Forever: Any modifications you make must remain open-source under the GPL-3.0 license. This helps ensure the code remains accessible and beneficial to everyone.

You can read the full license in the LICENSE file.