GitHub / melogabriel / basket-analysis-apriori
This project performs association analysis on a sales dataset, using the Apriori algorithm. The dataset is loaded from an Excel file, and a basket of items is created for each transaction. The Apriori algorithm is then applied to find frequent itemsets and association rules based on the support, confidence, and lift metrics.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/melogabriel%2Fbasket-analysis-apriori
PURL: pkg:github/melogabriel/basket-analysis-apriori
Stars: 2
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 12.7 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: apriori-algorithm, jupyter-notebook, lookerstudio, market-basket-analysis, mlxtend, pandas, python