In this project, I built a Movie Recommendation System using both Collaborative Filtering and Content-Based Filtering to enhance recommendation accuracy:

🔹 Collaborative Filtering: Suggests movies by identifying patterns in user behavior and preferences, leveraging ratings and watch history.

🔹 Content-Based Filtering: Recommends movies based on similar attributes (e.g., genre, cast, or director) to previously liked films.

🔹 Hybrid Approach: Combines both methods to provide tailored and diverse recommendations, ensuring users find their next favorite film with precision.

Excited to explore new ways of improving recommendation systems!