While shopping on popular ecommerce websites like Amazon, you must have stumbled upon features like ‘frequently Bought together’ suggesting that you may like a similar product to the one you are viewing. This feature is achieved by using an unsupervised machine learning approach called Market Basket Analysis. Under the hood, it uses apriori algorithm. I have done a project exploring this approach. The project’s objectives are:

1. Create a detailed Exploratory analysis of the dataset created by Instacart.
2. Find out the associations among products in the dataset and offer advise on how your findings can be applied.

This project’s GitHub repository