Data Science

Student Performance Prediction System

Predicting academic outcomes using historical data and behavioral patterns.

Difficulty
Beginner
Duration
2 Weeks
Branch
Data
Investment
3,200
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Student Performance Prediction System

Project Overview

An analytical tool for educational institutions to identify at-risk students early. Uses machine learning to analyze attendance, grades, and engagement to predict future performance.

Key Features

Predictive modeling
Interactive data visualizations
Early warning system
Student behavior analysis

Technology Stack

Python
Pandas
Scikit-Learn
Streamlit

Technical Requirements

  • Python 3.8+
  • Streamlit library