This Course Recommendation System is designed to enhance the educational journey of students by providing personalized course suggestions. Utilizing advanced machine learning techniques, this system analyzes student data and preferences to recommend the most suitable courses that align with their academic and career objectives.
- Personalized Recommendations: Offers tailor-made course suggestions to each student.
- Machine Learning Integration: Employs robust algorithms to accurately predict and suggest courses.
- User-Friendly Interface: Ensures a smooth user experience with a simple and intuitive interface.
- Python: For backend logic and machine learning algorithms.
- Jupyter Notebook: For initial prototyping, testing algorithms, and data analysis.
To get this project up and running on your local machine, follow these steps:
- Clone the repository:
git clone https://github.com/YourUsername/YourRepository.git - Navigate to the project directory:
cd YourRepository - Install the required packages (preferably in a virtual environment):
pip install -r requirements.txt
After installation, launch the system using Jupyter Notebook:
jupyter notebook
Navigate to the Main.ipynb file to view the project.
Contributions to enhance the functionality or performance of this system are welcome. Please fork the repository and submit a pull request with your improvements.
This project is licensed under the MIT License - see the LICENSE.md file for details.