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Build a movie recommendation system using Python on your own! Build a movie recommendation system using Python on your own! A recommendation system is an extremely popular application of Machine Learning. Here, the concept of applied statistics and Data Science are used to create our own list of top movies similar to sites such as IMDb and other movie review sites. Here, we attach a metric to rank the movies based on their average votes and the number of voters. That way, it is possible to list the top views and make suitable suggestions to users. Some popular applications of the movie recommendation systems are Netflix, Amazon Prime, Hulu, etc. This system can be easily be coded using the Pandas library, a very popular Python library that is used for data manipulation and analysis.

Great Learning brings you this tutorial on “Build a movie recommendation system using Python” to help you understand everything you need to know to be able to build a movie recommendation system. This video starts with an introduction to recommendation systems, followed by an understanding of the types of recommendation systems. We then understand how one can begin to build their own movie recommendation system, and finally, we carry out a hands-on demo on the same!

🏁 Topics Covered:
00:00:00 Introduction
00:02:01 Agenda
00:03:42 Introduction to recommendation systems
00:19:07 Types of recommendation systems
00:22:09 Building your own movie recommendation system
00:45:44 Hands-on: Movie recommendation system demo
01:03:47 Summary

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