Description - Supervised Learning problem based on a dataset created to predict, in higher education institutions, the students' dropout and academic success.
Course - Artificial Intelligence
Disclaimer - This repository was used for educational purposes and I do not take any responsibility for anything related to its content. You are free to use any code or algorithm you find but do so at your own risk.
To execute this project, these libraries are needed:
- NumPy
- pandas
- matplotlib
- sklearn
- seaborn
- imbalanced-learn
Install requirements using
pip install -r requirements.txton the /src/ folder.
The project source code is in the jupyter notebook file AcademicSuccess.ipynb, where the code used for the project is present and documented.
- Sofia Germer, up201907461
- Pedro Jesus, up201907523
- Sérgio Estêvão, up201905680