Hi! Really a great video and an excellent explanation and presentation of your work. I've being seraching for a good video like yours but never found, thanks alot its awesome💥.
This is a great video. Thank you so much. Could you please provide your input on how we can group and label those similar movies watched by users ? for example, if user1, user2, user3 have watched movies movie1, movie2, movie3. So this set {movie1,movie2,movie3} can be made like a template because lot of users are watching the same movies. Can we label these groups? If yes, how could we do it?
Hi!
Really a great video and an excellent explanation and presentation of your work. I've being seraching for a good video like yours but never found, thanks alot its awesome💥.
This is a great video. Thank you so much.
Could you please provide your input on how we can group and label those similar movies watched by users ?
for example, if user1, user2, user3 have watched movies movie1, movie2, movie3. So this set {movie1,movie2,movie3} can be made like a template because lot of users are watching the same movies. Can we label these groups? If yes, how could we do it?
Confusion matrix, Recall?
A great video! Can you provide the source code of above program.It would be helpful
yes
in this video why you write the unsupervised Knn ? this is for clusterring ?
Can u give link dataset and source code bolow?
Provide this dataset plss
we need the code please
Provide the source code please
yes