Movie Recommender System

A Python-based project that predicts top 5 similar movies using vectorization techniques.

This project utilizes the TMDB 5000 Movie Dataset from Kaggle to build a robust movie recommender system.

Dataset link:

Features:

• Efficiently processes large movie datasets.
• Employs vectorization for accurate movie similarity calculations.
• Provides personalized movie recommendations.

How it Works:

working:

Technologies Used:

• Python
• Pandas
• NumPy
• Scikit-learn
• kaggle dataset