Kaggle Notebook
Movie recommendation system to predict movies based on title and user preferences
These files contain metadata for all 45,000 movies listed in the Full MovieLens Dataset. The dataset consists of movies released on or before July 2017. Data points include cast, crew, plot keywords, budget, revenue, posters, release dates, languages, production companies, countries, TMDB vote counts and vote averages.
This dataset also has files containing 26 million ratings from 270,000 users for all 45,000 movies. Ratings are on a scale of 1-5 and have been obtained from the official GroupLens website.
This dataset is an ensemble of data collected from TMDB and GroupLens.
The Movie Details, Credits and Keywords have been collected from the TMDB Open API. This product uses the TMDb API but is not endorsed or certified by TMDb. Their API also provides access to data on many additional movies, actors and actresses, crew members, and TV shows.
The Movie Links and Ratings have been obtained from the Official GroupLens website.
Data: https://www.kaggle.com/rounakbanik/notebook
The Movies Dataset: Rounak Banik
Explanations: Ibtesam Ahmed