How to build a Movie Recommendation System | Source Code included | kandi tutorial

Channel:

Open Weaver

Subscribers:

17,900

Published on June 28, 2022 8:28:26 AM ● Video Link: https://www.youtube.com/watch?v=Qkr2cAExsRI

Category:

Tutorial

Duration: 10:26

1,125 views

20

A recommender system is one of the most well-known uses of data science and machine learning. 𝗜𝗻𝘀𝘁𝗮𝗹𝗹 𝘁𝗵e 𝟭-𝗰𝗹𝗶𝗰𝗸 𝗸𝗮𝗻𝗱𝗶 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗸𝗶𝘁 𝗼𝗻 Movie Recommendation System 𝗵𝗲𝗿𝗲 https://kandi.openweaver.com/collections/starterkits/simple-data-analysis?utm_source=youtube&utm_medium=social&utm_campaign=organic_kandi_ie&utm_content=kandi_ie_kits&utm_term=all_devs

This will install a sandbox Movie Recommendation System application and all the prerequisites needed for the tutorial. #kandiB4Ucode

Based on the similarity between the items or the similarity between the users who previously evaluated those entities, a recommender system uses a statistical algorithm to forecast users' ratings for a specific entity. The assumption is that users of like categories will rate a group of items similarly.

We will use Movie Recommendation System libraries to customize and build your recommendation system in minutes with this fully editable source code. The entire solution is available as a package to download from the source code repository.

Explore many more projects on kandi -
https://kandi.openweaver.com/?utm_source=youtube&utm_medium=social&utm_campaign=organic_kandi_ie&utm_content=kandi_ie_kits&utm_term=all_devs

#AI #movierecommender #netflix