Recommend by predicting missing user ratings

- [Narrator] Let's take a look at create…review matrix as csv.py.…This code will generate a csv representation…of the review matrix that we can open in a spreadsheet.…First we load the data using Panda's read_csv function.…Then we use Panda's pivot_table function…to create the review matrix.…Finally, we'll use Panda's to_csv function…to save the result as a csv file.…Let's run the code.…Right click and choose run.…Great.…Now let's open that file in our spreadsheet application.…I'm using Numbers but any…spreadsheet application should work.…

This is our review matrix.…There's one row for each user and one column for each movie.…Each number represents a review entered by a user.…Blank spaces represent movies that have…not yet been reviewed by a user.…Imagine if we could figure out a way to fill…in all the blank spaces based on the numbers we know.…For example, let's look at user number three.…We can see that user number three gave four stars…to movie one and movie two, and five stars…to movie number three.…What if we could use the ratings we know…