Movie Recommendation Engine (Content Based Filtering) | Machine Learning | Python

[@athanikarammy7476]

The type of content i was waiting for!!

[@_VAISHNAVIKEDARJOSHI]

You are the best!! Since one week I was reading books on recommender model but didn't receive detailed explanation. Thanks a lot !!Waiting for more content on ML to come!!

[@HackersRealm]

Glad you liked the video!!! I will try my best to upload more informational content

[@ganeshkashyap8573]

Beautiful Content as always. Wonderful work Aswin!

[@Morexod999]

Just wanna leave a positive comment for this video - it was helpful. Also Its work pretty good on my 5k+ movies dataset

[@HackersRealm]

Glad you liked the video!!!

[@bharatapar3937]

Big fan of yours after hacker rank solutions 🙏🙏🙏

[@HackersRealm]

Glad you liked it!!!

[@RandevMars4]

I was waiting for this video. Can you do a udemy courses recommendation syatem😍

[@HackersRealm]

The pipeline will be same for udemy also, I will try some other techniques in recommendation engine!!!

[@r-rk]

explanation was good, I have a doubt for you. How do we evaluate this recommendation system/model?

[@HackersRealm]

you can use precision and recall to evaluate. for each input if you already have some recommendations, you can check and compare with the actual and prediction!!!

[@madara9897]

Hello Sir, may I ask? Do you use Cosine similarity in this Content-based?

[@HackersRealm]

yes

[@lakshitakamboj198]

Hi, how do we check the recommendation system accuracy?

[@HackersRealm]

we don't use accuracy for all the projects, we just use the metrics based on the problem

[@shaikmuski3128]

Sir we are going to deal a content based movie recommendation project within 1 week.. Please help us sir.. Can we use cosine similarity with KNN algorithm??? Is there any problems??

[@HackersRealm]

you can check out surprise module for recommendation engine, it may help