This repository contains mini project code which uses data from ml-100k movies data and do some mathematics to give some recommendation based on rating, num of user rated that movie.
For starting I uses item based filtering for making recommendation system.
Recommend Items that are similar to the item user bought,similarity is based on co-occurrences of purchases Item A and B were purchased by both users X and Y then both are similar.
