In Technical terms, Apriori (used in the Market Basket Analysis) tries to find out which items are bought together. So Customer experience can be enhanced by arranging them nearby or suggesting users on retailers site, basically to make customers buy more. (Remember those suggestions of ” These items bought together ” on online shopping sites? )

But how does it works? Of course, there is some theory associated with it but we will study that as we code. So the first thing we need is data, I will be using data from Kaggle. which can be found here (https://www.kaggle.com/shazadudwadia/supermarket#GroceryStoreDataSet.csv). …

Bhushan Ikhar

Data Visualizer & a Data Scientist | IIMC | Zeno | Reliance | instinctb.com | quora.com/q/datasciencelearners | https://www.linkedin.com/in/ikharbhushan/

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