Project 1 : Make movie suggestions for users

It is one of the most popular and commonly quoted data sets in data science. This data set provides the exciting opportunity of building one’s own movie recommendation engine and is available in many sizes.

The smallest set meant for the purpose of education and development contains 100,000 ratings and 1,300 tag applications applied to 9,000 movies by 700 users. While the largest set meant for the same purpose contains 26,000,000 ratings and 750,000 tag applications applied to 45,000 movies by 270,000 users.

It also contains stable benchmark data set of 20 million ratings and 465,000 tag applications applied to 27,000 movies by 138,000 users.