Overview
Development of a movie recommendation engine in Python using the Jaccard similarity index.
The system analyzes user preferences and generates personalized recommendations based on shared genre interests and viewing history.
Technologies
- Python, Pandas, NumPy
- Jupyter Notebook
- Matplotlib
Key Learnings
- Similarity algorithms (Jaccard Index)
- Data cleaning and analysis workflows
- Collaborative filtering for user-based recommendations