By analyzing transactional details of customers in Big Basket, finding the highest lift values, and putting them together.
In the dataset used, we have around 7000+ transactions on the BigBasket.com website. Details of various orders made by the customers at Big Basket. Based on this data, we have to find out by looking at one individual transaction. In this case, milk and cake are together in a lot of these transactions and these are the highest lift values. These 2 products are bought together a lot and we focus upon putting them together.
Orginal File Link: https://colab.research.google.com/drive/1hFGPfS20Yu9CXKmGov2BvYLklkSldTzo