Using association rule mining to identify which items are frequently purchased together by customers. Project idea: Using association rule mining to identify which items are frequently purchased together by customers. Analyzing the results and identifying potential cross-selling opportunities for the company.
bar chart shows the lift values on the x-axis and the association rules on the y-axis (https://github.com/GhadaJojo/e-commerceAssociationRule/blob/main/image.png)
Project Title [Market Basket Analysis]
Data Source [ UCI Machine Learning Repository: Online Retail Data Set ]
Data description [This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The dataset contains 541909 rows, 8 columns]