Data Science
Build a Content based Movie Recommender System to recommend Movies using Open source Data in Python
Arka Mediaworks - the production house behind Bahubali: The Beginning - offers this data science menternship to investigate the movie viewing patterns of the audience using Python

About this Menternship
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.

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.


During this menternship, you will be tasked with creating a movie recommender system using content, collaborative and hybrid filtering techniques on Python.



Why take up this Menternship?
On completing this Menternship, you will learn about
You will explore:
Python - Recommender Systems

You will apply:
data wrangling
data modelling and evaluation
Recommender Systems - Algorithms and Intuition

You will create:
Movie recommender system

Expected Output
  1. Research Report on Filtering Techniques
  2. Python Notebook for Collaborative Filtering System
  3. Python Notebook for Content-based Filtering System
  4. Python Notebook for Hybrid Filtering System
  5. Evaluation Report on Recommender Systems Applied
  6. Video of self
Build a Content based Movie Recommender System to recommend Movies using Open source Data in Python
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