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). …

How many times we use google sheets for collaboration, and how many times we need to follow up with the person from whom we are collecting data. The conversation goes like this

Corporate Employee, to field person: Hey when can I expect data from you? Can you please enter that in the google sheet I shared asap?

Field person: But I have already entered it, can you please check?

In short, it is a manual task that can be automated

What we will accomplish? at the end of this article, you will be able to write a python code that…

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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