Fundamental Methods for Data Science - Homework 1

This is a Github repository created to submit the first Homework 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. HW1.ipynb: A Jupyter Notebook file containing all the relevant exercises of the homework.
3. assets: A folder that includes text files with data used on the HW1.ipynb notebook.
4. images: A folder that includes images used on the HW1.ipynb notebook.
5. model: A folder that includes model images used when performing Closest Neighbors classification on the HW1.ipynb notebook.
6. query: A folder that includes query images used when performing Closest Neighbors classification on the HW1.ipynb notebook.
7. .gitignore: A predetermined .gitignore file that tells Git which files or folders to ignore in a Python project.
8. 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