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.
- Efficiently processes large movie datasets.
- Employs vectorization for accurate movie similarity calculations.
- Provides personalized movie recommendations.
working:
- Python
- Pandas
- NumPy
- Scikit-learn
- kaggle dataset