Need help to develop an recommendation engine in python

this my dataset where i have user id and the values of the questions they have answered…
now i have to check the similarity between users and i have to recommend the most similar users someone please explain me how can i do it in most efficient manner

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@nivas79 , so what you are looking for is a Collaborative filtering based recommender system,

If you want to do it from scratch, you could do something really simple like computing cosine similarity and ranking users according to it.

But using a library might be a better choice. I believe these might be helpful to you.

sklearn-recommender
surprise

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