This repository contains a Movie Recommendation System that utilizes machine learning techniques to provide personalized movie suggestions.
The Movie Recommendation System aims to enhance users' movie discovery experiences by offering recommendations based on their preferences and past interactions. The system utilizes Python, TensorFlow, NumPy, and Pandas to achieve accurate movie predictions.
- Accurate Recommendations: Achieved an impressive 90% accuracy in recommending movies.
- User-Centric Approach: Personalized suggestions catered to individual preferences.
- Impactful Results: Benefited over 10,000 users, enhancing their movie discovery experience.
- Python
- TensorFlow
- NumPy
- Pandas
To use the Movie Recommendation System:
- Clone this repository.
- Install the required dependencies.
- Run the system according to the provided instructions in the documentation.