Final project for the VUB course "Statistical Foundations for Machine Learning"
This repository contains two self-contained jupyter notebooks:
- A classification notebook that contains an implementation, analysis and comparisson of multiple ML classification algorithms in real-world datasets and synthetic datasets.
- A regression notebook that contains an implementation, analysis and comparisson of multiple ML regression algorithms in real-world datasets and synthetic datasets.
- Clone the repo.
- Create and activate a virtualenv under the env/ directory.
- Install the requirements using pip install -r requirements.txt
- Run Jupyter in whatever way works for you. The simplest would be to run pip install jupyter && jupyter notebook.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.