Dude I know this is off topic, but ur voice is insanely satisfying !!
Holy cow! That is a really good recommendation system! Humbling tutorial as well!
easily the best video on this subject, all the other videos were so boring and mundane. I wish Youtube promoted this video more to the top.
I am working on my final year project and this video is helping me understand the topic really well. Thank you for it!!!
Ended up searching up for movies to watch at the end xD
Hello Spencer im split between collaborative recommender systems and a confirmation tree project for my master thesis. What would be most beneficial?
are there any metrics that you can use to test if what your recommending is accurate at all?
Hi Spencer, the github link for the code is not working. can you pls resolve it. Thank you
Would love to see more of this type of video!
How do you know which libraries/functions to use to make these algorithms? I’m trying to make a videogame recommendation system from a Steam games dataset, similar to what you’re doing here
I'm not sure what these clusters are (for example Cluster #1 and printed titles), are they some sort of groups of similiar movies?
Nice video, keep up the good work!!
Hi, I would like to know if the mac mini M2 pro with only 16gb of RAM is enough for 8Go of data analysis. Thank you so much for your feedback
Hello! :) Ty for the video. I have a question regarding the line " def __init__(self, n_users, n_items, n_factors=20)". Can you explain why 20?
Great video, but how do we then get scores for the User_ID? Something like there is this much probability that User_ID 2 will be in cluster 2? Thank you.
A big like for that voice
Hi Spencer. Was working on a similar problem where i have users who have listened to a set of songs and based on there listen history. I have to recommend new songs to the user. Almost 10. How to do that? Also I don't have ratings for songs I have listen count for each song. And listen count is in relation to user.
Hey man, nice video, and thanks for the tutorial. I'm actually trying to build a recommendation system for online courses, like udemy, but I can't find any datasets for user reviews to make the collaborative filtering. So I decided to manually create a dataset, and thought of choosing like 4 subjects and putting some users to rate like 10-15 courses of each subject. Do you know if something like that can work, or have any tips you can give me?
Dude is not only learn deep learning but deep voice. damn
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