Counting up the pairs
You can now create DataFrame of all the permutations of movies that have been watched by the same user. This is of limited use unless you can find which movies are most commonly paired.
In this exercise, you will work with the movie_combinations DataFrame that you created in the last exercise (that has been loaded for you), and generate a new DataFrame containing the counts of occurrences of each of the pairs within.
This exercise is part of the course
Building Recommendation Engines in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate how often each item in movies_a occurs with the items in movies_b
combination_counts = movie_combinations.____(['movie_a', 'movie_b']).____()
# Inspect the results
print(combination_counts.head())