This Movie Recommendation System utilizes a dataset comprising 4803 movies, employing the content-based filtering technique to suggest movies to users based on their preferences and viewing history. By examining various attributes of movies, including genres, cast, directors, and more, the system generates personalized recommendations tailored to individual user tastes and preferences.
To run this project, you will need the following libraries:
- pandas
- numpy
- difflib
- sklearn
You can install them using pip:
pip install pandas numpy sklearn To run the project, you can use the following command:
- After installing the dependencies, you can clone this repository to your local machine using the following command:
git clone https://github.com/Muhammad-Talha4k/Movies-Recommendation-System.git
This notebook contain the code and explanation of the task.
We welcome contributions from the community. Feel free to suggest improvements, fixes, or new features through issues or pull requests.