This Repository is part of the EML Proseminar. It contains the solutions to the Exercise sheets and the final project.
All the information about the project and the exercises can be found in the respective folders.
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.
## 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). ✨
