Optimization Methods for Data Science Final Project, Data Science @Sapienza

This repository contains the following:

• The implementation package, with sub-packages dedicated to Kernel-based Support Vector Machines and Multilayer Perceptron Networks + Radial Basis Function Networks.
• The OMDS_project_2022_2023 PDF, containing the instructions for the project.
• The requirements.txt file, describing the dependencies necessary for the code to run.
• The ImplementationReport PDF, describing the math and several implementation details. It is about 10 pages long, and it goes quite in depth.
• The data.txt file, containing the tabular data used to train and test the models for the project.

Apart from the OMDS_project_2022_2023 PDF, authored by Professor Veronica Piccialli and Cecilia Salvatore, and the data.txt file, everything else was written and coded by Simone Di Gregorio and Mattia Castaldo.