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This repository holds the files of the second ADM homework. Algorithmic Methods for Data Mining (ADM) is a course of the Master Degree in Data Science offered by the University of Sapienza, Rome

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Homework 2 - eCommerce analytics


e-commerce

In this homework, we were asked to analyze the activity data collected from an e-commerce platform during October and November 2019.

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  • main.ipynb: Jupyter notebook containing the results of our data analysis. This link is provided in case of plots rendering issues.
  • test.py: Python script for test sake.
  • scripts/our_functions.py: Python script containing all the custom functions we used to answer to each question.

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This repository holds the files of the second ADM homework. Algorithmic Methods for Data Mining (ADM) is a course of the Master Degree in Data Science offered by the University of Sapienza, Rome

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