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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
No description provided
Readme 553 MiB
Languages
HTML 87.4%
Jupyter Notebook 8%
Python 4.6%