Giri Mahesh Kumar Sai Settam, 16.11.2018

Task: Build a recommender system to predict a book that a user is most likely to purchase next.

Files: Recommender_System_ShopBonsai.ipynb -------- Python note-book walks through each step in budiling recommender system which includes, exploratory data analysis, building popularity based/item-based/user-based recommender system.

output.csv ------ The output data file which is a M*N matrix where M is number of users, N is number of books and each entry representing activity for a given user.