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.