Recommendation System
Developed a sophisticated movie recommendation system using multiple algorithms including K-Nearest Neighbors (KNN), Slope One, and Singular Value Decomposition (SVD). The system processes large datasets and provides personalized movie recommendations with high accuracy. Built in Python, it includes a web interface for users and comprehensive documentation for easy setup and contributions.
Project Overview
Developed a sophisticated movie recommendation system using multiple algorithms including K-Nearest Neighbors (KNN), Slope One, and Singular Value Decomposition (SVD). The system processes large datasets and provides personalized movie recommendations with high accuracy. Built in Python, it includes a web interface for users and comprehensive documentation for easy setup and contributions.
Technologies Used
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