🎓 Student Performance Prediction - Learning ML Project

This repository contains a simple end-to-end Machine Learning project built while learning Machine Learning and MLOps concepts. The project predicts a student's Math Score based on various academic and demographic features using regression models.

🚀 What I Learned

• Data Ingestion
• Data Preprocessing
• Feature Engineering
• Model Training & Evaluation
• Model Serialization (Pickle)
• Building a Prediction Pipeline
• Deploying a simple web app using Flask

🛠️ Tech Stack

• Python
• Scikit-learn
• Pandas
• NumPy
• CatBoost
• Flask

📂 Project Structure

MLProject/
├── artifacts/
├── notebook/
├── src/
├── templates/
├── app.py
├── requirements.txt
└── README.md

▶️ Run Locally

git clone https://github.com/Ayanonmyous/MLProject.git

cd MLProject

pip install -r requirements.txt

python app.py

Then open:

http://127.0.0.1:5000

📌 Note

This project was created for learning and practice purposes while exploring the complete Machine Learning project lifecycle, from data preprocessing to deployment. It is not intended for production use.

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⭐ Feel free to explore the code or suggest improvements!