Market-basket-analysis

Project for the University Master Degree Course of Algorithms for Massive Datasets.

This project aims to perform a Market Basket Analysis from scratch using the Apriori algorithm. By analyzing customer transaction data from the Yelp dataset, the goal is to identify frequent itemsets and derive association rules that can provide valuable insights into purchasing behaviors.

Requirements

• kaggle
• pyspark
• nltk
• pyspark.mllib

Installation

To install the required libraries, run:

pip install kaggle pyspark nltk

Project Structure

• Market_Basket_Analysis_Project.ipynb: Contains the Jupyter notebooks for data exploration and model training.
• MassiveDatasets_Report.pdf: Contains the Report with the description of the results