This Notebook Recommends Movies by finding correlation based on user rating of each movie
Customer A likes restaurants 1 and 2.
Customer B like restaurant 2 so he's most probable to like restaurant 1 too.
1-We have a ratings data which contains ratings given to different movies by different users.
2-We have a movies data which contains names and IDs of movies.
1-Pandas
2-Numpy
3-SKlearn
1-The Data contains rating of different movies given by different Users.
2-Then we will group the data by movie IDs and find the count of ratings received by each movie
3-Then we will create a pivot table.
4-It will take users as rows and movies as columns
5-The cell will be filled by the rating they give to a movie they watched
6-Null values will be filled by 0
7-There are 943 users
8-we will compress the data to have 1664 * 943 to 1664*12
9-Then we will find correlation of every movie with each other based on user ID
10-If a person rated starwars high, he's likely to enjoy the movies that have high correlation with starwars.