Data Science
Build a Content based Movie Recommender System to recommend Movies using Open source Data in Python
How does Youtube build personalized recommendations for every user? Can the same data science algorithms guide us to find movie recommendations?
Certified by
Role
Data Analyst
Industry
Film & Media
No. of Subscribers
106
Level
Advanced
Time Commitment
Submit First Draft in 30 days
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
Arka Mediaworks pushes the boundaries of commercial cinema by taking on projects that are breathtaking in their scale and potential. This production house has made films and television shows in six Indian languages and has production centres in four major hubs of movie production.
Explore
the following work techniques
Python - Recommender Systems
OTT algorithms
Bridging the gap
Arka Mediaworks released its Telugu film Uma Maheswara Urga Roopasya on Netflix in 2020, which ranked in Netflix’s India's Top 10 list. With over 500 new titles added to the banks of OTT platforms like Netflix, Amazon Prime and Hotstar every year - it is vital for a production house to acquire data-based insight into the viewing preferences of its audience and create films that will remain popular for a long time. Data scientists can predict these viewing preferences by investigating the viewing history of millions of users and analysing the artistic attributes of the most-liked films.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Model formulation
Expected output
During this menternship, you will be tasked with creating a movie recommender system using content, collaborative and hybrid filtering techniques on Python.
Create
the following deliverables
Data preparation of given dataset
Movie recommender system on Python
What you’ll need before starting
Python, Recommender systems
