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User Based Movie Recommendation System based on Collaborative Filtering Using Netflix Movie Dataset
Build a Movie recommendation system based on “Association Rules”
This project presents an interactive Power BI dashboard focused on Netflix's extensive library of movies and TV shows. With over 8000+ titles available on their platform, the dashboard offers insights into key details such as cast, directors, ratings, release year, and duration.
Netflix! What started in 1997 as a DVD rental service has since exploded into the largest entertainment/media company by market capitalization, boasting over 200 million subscribers as of January 2021. Given the large number of movies and series available on the platform, it was a perfect opportunity to flex my data manipulation skills and dive into the entertainment industry.