https://github.com/karan-malik/apriori-eclat
Association Learning for Market Basket Analysis using Apriori and Eclat
https://github.com/karan-malik/apriori-eclat
apriori apriori-algorithm apriori-algorithm-python association-learning association-rule-mining association-rules eclat eclat-algorithm machine-learning machine-learning-algorithms market-basket-analysis market-basket-optimization python python3
Last synced: about 2 months ago
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Association Learning for Market Basket Analysis using Apriori and Eclat
- Host: GitHub
- URL: https://github.com/karan-malik/apriori-eclat
- Owner: Karan-Malik
- Created: 2020-07-30T15:01:49.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-07-30T15:23:36.000Z (over 4 years ago)
- Last Synced: 2025-01-14T08:52:31.523Z (3 months ago)
- Topics: apriori, apriori-algorithm, apriori-algorithm-python, association-learning, association-rule-mining, association-rules, eclat, eclat-algorithm, machine-learning, machine-learning-algorithms, market-basket-analysis, market-basket-optimization, python, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 47.9 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Apriori and Eclat
Association Learning for Market Basket Analysis using Apriori and Eclat
The python notebooks Apriori.ipynb and Eclat.ipynb are used to analyse the market basket of 7500 customers, shopping at a grocery store during a week. The items which are frequently
bought together are identified and displayed in the order of the significance of this relationship.
The Dataset 'Market_Basket_Optimisation.csv' can be downloaded from the repository. It is also available as a part of the Machine Learning A-Z course on Udemy.