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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README.md
: A markdown file that explains the content of the repository. -
main.ipynb
: A Jupyter Notebook file containing all the relevant exercises of the project. -
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 onmain.ipynb
. -
neural_net.py
: A module that includes a Neural Network classifier along with auxiliary functions for training and plotting.
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final_project_report.pdf
: Final Report of the Project. -
.gitignore
: A predetermined.gitignore
file that tells Git which files or folders to ignore in a Python project. -
LICENSE
: A file containing an MIT permissive license.
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