Machine Learning project to analyze and predict student academic performance using Python. Student Performance Analysis System 📖 Overview
This project analyzes student performance using machine learning techniques to identify academic trends and predict final scores.
🎯 Objectives
Perform exploratory data analysis
Identify key factors affecting performance
Train ML models to predict student results
🛠 Technologies Used
Python
Pandas
NumPy
Matplotlib
Scikit-learn
Google Colab
📊 Machine Learning Models Used
Linear Regression
Decision Tree
Random Forest
📈 Results
The Random Forest model achieved the highest accuracy of XX%.
🚀 Future Improvements
Deploy as web application
Add real-time student dashboard
Integrate with college database