Hi,
Need to compute distance measures: Manhattan, Euclidean, Pearson and Cosine and do the KNN algorithm using all the distances to see which person is more likely to rate the movies to another person. And also see which measure’s the best among all.
Then create a recommendation system to suggest movies (out of those 8 movies in the dataset Movies.xlsx (9.0 KB)) to all 8 people.
And because I need to keep the missings to check which of them distances are better, I don’t want to remove or replace the missings, so any hint or suggestion?!