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Student Performance Predictor

Analyse student data and build a model that predicts performance risk for academic support scenarios.

LevelCollege / Intermediate Duration4 Weeks Components₹500–₹2,000 CodingMedium
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Student Performance Predictor

Project overview

Analyse student data and build a model that predicts performance risk for academic support scenarios.

Analyse student data and build a model that predicts performance risk for academic support scenarios.

Components / materials required

Laptop
Python
Pandas
Scikit-learn
Synthetic/public student dataset

What the project demonstrates

Data cleaning
Feature analysis
Classification/regression baseline
Explainable metrics

Suggested build plan

01

Problem framing

Define target and ethical use.

02

EDA

Explore attendance and scores.

03

Modeling

Train baseline models.

04

Evaluation

Measure accuracy and bias risks.

Learning outcomes

Use Pandas for analysis
Build baseline ML models
Interpret metrics
Discuss responsible educational AI
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