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This repository contains the second homework assignment for the Algorithmic Methods of Data Mining and Laboratory (ADM) course, part of the Master’s degree in Data Science at Sapienza University of Rome 22/23.

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ADM-HW2-Group14

Group Members

  • Marina
  • Claudiu
  • Jia

HW's goals

The goals of the Homework are:

  • learn how to work on large data, using the main python packages for data manipulation and making considerations on the results obtained;
  • be familiar with the command line;
  • be familiar with algorithms and the determination of asymptotic algorithms running time.

Files description

In the repository "ADM-HW2-Group14" you'll find main.ipynb and CommandLine.sh, the result of our efforts.

1. main.ipynb

A Jupyter notebook that contains all our answers and scripts relative to the theoretical questions (from RQ1 to AQ1).

2. CommandLine.sh

A bash shell script file contains the prepared script to answer to the command line question.

Principal packages used

  • Pandas;
  • Matplotlib.pyplot;
  • Numpy;
  • Datetime.

Work split

Requests have been divided as follows:

  • RQ1-RQ2-RQ7-RQ8: Claudiu;
  • RQ4-RQ5: Jia;
  • RQ3-RQ6: Marina;
  • Command line: Jia;
  • Bonus A: Jia,Claudiu,Marina;
  • Bonus B/C: Marina;
  • AQ1: Marina.

Additional Link

https://nbviewer.org/github/maryyyyna/ADM-HW2-Group14/tree/main/

About

This repository contains the second homework assignment for the Algorithmic Methods of Data Mining and Laboratory (ADM) course, part of the Master’s degree in Data Science at Sapienza University of Rome 22/23.

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