Predicting-Student-Performance-Using-Machine-Learning and AcademicPredict

Predicting-Student-Performance-Using-Machine-Learning
36
Emerging
AcademicPredict
23
Experimental
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 20/25
Maintenance 6/25
Adoption 2/25
Maturity 15/25
Community 0/25
Stars: 46
Forks: 25
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 2
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
No Package No Dependents

About Predicting-Student-Performance-Using-Machine-Learning

skprasad117/Predicting-Student-Performance-Using-Machine-Learning

Using machine learning algorithms, this project aims to predict student performance in standardized tests based on demographic and academic data.

This project helps educators and parents predict a student's mathematics performance by analyzing demographic information like gender, ethnicity, parental education, lunch type, and test preparation. You input a student's background details, and it estimates their potential math score. It's designed for anyone interested in understanding factors that influence student academic outcomes.

education-analytics student-assessment academic-insights predictive-modeling educational-strategy

About AcademicPredict

ravindran-dev/AcademicPredict

Predicting student academic performance using a machine learning approach. This project leverages the Random Forest Classifier algorithm.

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