Fundamental Methods for Data Science - Final Project

This is a Github repository created to submit the Final Project of the Fundamental Methods for Data Science (FDS) course for the MSc. in Data Science at the Sapienza University of Rome.

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What's inside this repository?

1. README.md: A markdown file that explains the content of the repository.

2. main.ipynb: A Jupyter Notebook file containing all the relevant exercises of the project.

3. modules: A folder that includes two Python files that include custom-made modules made to build Machine Learning classifiers:

   • __init__.py: A file that initializes the modules.

   • auxiliary_functions.py: A module that includes data-handling and data-plotting auxiliary functions used on main.ipynb.

   • neural_net.py: A module that includes a Neural Network classifier along with auxiliary functions for training and plotting.

4. final_project_report.pdf: Final Report of the Project.

5. .gitignore: A predetermined .gitignore file that tells Git which files or folders to ignore in a Python project.

6. LICENSE: A file containing an MIT permissive license.

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Authors:

• Miguel Angel Sanchez Cortes sanchezcortes.2049495@studenti.uniroma1.it
• Pasquale Luca Tommasino tommasino.1912107@studenti.uniroma1.it
• Sofia Noemi Crobeddu sofianoemi.crobeddu@gmail.com
• Gabriele Volzone volzone.1917002@studenti.uniroma1.it
• Laura Lopez Sanchez laura.lopez@alum.esci.upf.edu

MSc. in Data Science, Sapienza University of Rome