machine-learning-project

Academic project for the Machine Learning course, a.y. 2023/2024, by Nunzio Canduci, Paolo Junior Mollica, Andrea Marino.

Link to the repository

The GitHub repo for this project has much more material than the package provided for delivery. Here is the link

Link to library sources

For the project, many software libraries have been used, among which:

1. F. Chollet, Keras, GitHub, GitHub Repository, (2015), version 3.0.2, documentation
2. M. Abadi, A. Agarwal et al., TensorFlow: Large-scale machine learning on heterogeneous systems (2015), website and documentation
3. F. Pedergosa, G. Varoquaux et al, Scikit-learn: Machine Learning in Python, JMLR, 12(Oct), (2011), pp.2825-2830. API reference
4. Other libraries include NumPy, Pandas, matplotlib, seaborn