About this document
Movie Recommendation System Setup by raiv09827 is a document available to read on EtoBox.
The document outlines a process for building a movie recommendation system using Python, involving data collection, pre-processing, and feature extraction. It utilizes libraries such as Pandas for data handling and Scikit-learn for calculating cosine similarity between movies based on selected features. The system allows users to input their favorite movie and generates recommendations based on similarity scores.
- Author
- raiv09827
- Language
- EN