Student Performance Prediction

This project aims to predict student performance based on various features using machine learning techniques.

Setup Instructions

1. Clone the repository:

   git clone <repository_url>
   cd StudentPerformancePrediction

2. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

4. Start Jupyter Notebook:

   jupyter notebook

Dependencies

• pandas==1.3.3
• numpy==1.21.2
• scikit-learn==0.24.2
• matplotlib==3.4.3
• seaborn==0.11.2
• jupyter==1.0.0

Usage

Open the Jupyter Notebook and run the cells to train and evaluate the student performance prediction model.

License

This project is licensed under the MIT License.