This is a machine learning model that suggests movies to users based on their movie preferences. It is built using Python programming language and implements the cosine similarity algorithm.
To use the Movie Recommendation System, simply provide your movie preferences and the system will recommend movies that are similar to your preferences. The system is accurate and scalable, making it an effective solution for personalized movie recommendations.
The following libraries are required to run the Movie Recommendation System:
- pandas
- numpy
- sklearn
- cosine similarity
To install the required libraries, run the following command:
pip install pandas numpy sklearn
To use the Movie Recommendation System, run the following command:
python movie_recommendation_system.py
If you would like to contribute to this project, please fork the repository and submit a pull request.
This project is licensed under the MIT License. See the LICENSE.md file for details.
- This project was inspired by the need for personalized movie recommendations.
- Thanks to the creators of Python, pandas, numpy, and sklearn for making this project possible.