MACHINE LEARNING SYSTEM

In this project, we developed a machine learning system capable of predicting the quality of a video game based on features such as its platform, release year, developer, primary genre, and whether it supports single-player or multiplayer modes.

To achieve this, we employed various techniques including logistic regression, neural networks, and support vector machines (SVM), comparing their results to evaluate performance. My role involved contributing to the development of these techniques and collaborating on dataset preprocessing and treatment with a team member.

The entire project was implemented in Python, utilizing the following dataset for training: Metacritic Games Stats 2011–2019.

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Source code: https://github.com/Antgue01/AA/tree/main/ProyectoFinal