🎓 Student Result Prediction using Machine Learning

📌 Problem Statement

Can we predict a student’s final exam score based on study hours and attendance percentage?

🎯 Objective

Build a regression-based Machine Learning model to analyze how study habits and attendance affect academic performance.

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🛠 Technologies Used

• Python
• Pandas
• Scikit-learn
• Matplotlib

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⚙️ Project Structure

Student-Result-Prediction/ │ ├── data/students.csv ├── result_prediction.py ├── requirements.txt └── README.md

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📊 Model Performance

• Mean Absolute Error (MAE)
• R² Score
• Actual vs Predicted Score Visualization

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🚀 How to Run

1. Clone the repository: git clone https://github.com/Jaswanth300/Student-Result-Prediction.git

2. Install dependencies: pip install -r requirements.txt

3. Run the script: python result_prediction.py

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📈 Output

The model predicts student scores and displays a visualization comparing actual vs predicted scores.

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👨‍💻 Author

Jaswanth
B.Tech AI & Data Science