YouTube Recommender System

Overview

A sophisticated recommendation system that analyzes user viewing patterns and video content to provide personalized video suggestions.

Implementation Details

The system uses various data science techniques:

• Content-based filtering using video metadata
• Collaborative filtering based on user interactions
• Cosine similarity for finding related content
• Efficient data processing using Pandas and NumPy