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AI-IBM-Project

Market Basket Insights Project

Instructions

  1. Open the notebook.
  2. Execute each cell to run the code.
  3. View the results and outputs for insights.

Dependencies

  • Python 3.7 or higher
  • Pandas, mlxtend, and other required libraries (install using pip install -r requirements.txt)

Dataset Source

  • The dataset is sourced from Kaggle: Market Basket Analysis.
  • Ensure the dataset file ('transaction.csv') is downloaded and placed in the correct location.

Description

This project performs Market Basket Analysis to uncover patterns in customer purchasing behavior. Each phase focuses on specific aspects of data loading, preprocessing, algorithm application, and rule generation.

Dataset Description

  • Source: Kaggle: Market Basket Analysis
  • Description: The dataset contains transactional data from a retail business, including BillNo, Date, and Itemname columns. The goal is to perform Market Basket Analysis and generate association rules.