ADM-HW4

AUTHORS:

Name: Marina Iuliana Aur Matricola: 1809715 Email: aur.1809715@studenti.uniroma1.it
Name: Francesco Ferrusi Matricola: 2081332 Email: ferrusi.2081332@studenti.uniroma1.it
Name: Marco D'Ercole Matricola: 1874366 Email: dercole.1874366@studenti.uniroma1.it

INTRODUCTION:

The repository ADM-HW4-Group14 contains the code from Homework 4 for the course of Algorithmic Methods for Data Mining (Master of Data Science 22/23 University of La Sapienza).

FILES CONTAINED:

• The file main.ipynb contains a Jupyter Notebook with questions 1-2 and the algorithmic question of Homework 4 - Getting to know your customers.
• The file CommandLine.sh contains the answer to Command Line Question in a .sh bash executable file.
• The folder additiolFiles contains the results obtained by running the CommandLine.sh.