c0e6995b6d6bf0aeef2303fa10021ca58b8fe01c
Machine Learning Project – Summer Semester 2025
This project was created as part of the "Machine Learning" course at HTW Saar in the Practical Computer Science study program.
Objective
We are developing a Jupyter Notebook that automatically predicts the genre of Steam games based on their descriptions.
As a data basis, we use a publicly available Steam Games dataset that we found on Kaggle.
Dataset
We use the Steam Games Dataset from Kaggle.
Contributors
- Maximilian Kany
- Florian Speicher
- Tim Wall
Description
Languages
HTML
87.4%
Jupyter Notebook
8%
Python
4.6%