This Repository is part of the EML Proseminar. It contains the solutions to the Exercise sheets and the final project.
This repository is part of the [Exp-ML Proseminar](https://www.cl.uni-heidelberg.de/courses/ws23/exmal/). It contains the solutions to the **exercise sheets** as well as the **final project**, which is about the classification of fruit images using four different machine learning models.
All the code is written in Python and the solutions are provided in Jupyter Notebooks.
## Project status
## ✔ Setup and requirements
All the code is written in Python :snake:.
The project is finished and the final report and all other information is available [here](project/README.md).
The code has been written and tested with **Python 3.11**. Required packages are listed in separate requirements files in the respective directories together with instructions on how to install them.
As **operating systems** Windows as well as Linux distributions should work. While the exercises have been solved using Windows 11, the final project has been developed using Debian 12.
## 📆 Project status
The project is finished and the final report and all other information is available [here](project/README.md). ✨
