This code is for doing a market basket analysis on a transaction data. Market basket analysis (MBA) is an example of an analytics technique employed by retailers to understand customer purchase behaviors. It is used to determine what items are frequently bought together or placed in the same basket by customers. https://www.techopedia.com/definition/32063/market-basket-analysis

The market basket analysis is conducted through 2 approaches of association rules mining

• Apriori (apriori-code.ipynb)(association rules mining)
• Fp-growth(fp-growth-mba.ipynb) (frequent itemset mining using fp-tree)

The project is done for the capstone of Certificate in Data and Predictive Analytics of Raymond Chang School of Continuing Education at Ryerson University. Code is work in progress.