Skip to content

This project aims to predict the final grades (G2 and G3) of students based on various factors such as age, study time, family support, and more.It utilizes machine learning techniques to make predictions and offers insights into the factors affecting students' grades.

Notifications You must be signed in to change notification settings

fatimaAfzaal/Multiple-grade-prediction-Multi-Target-Problem-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

Student Grade Prediction Project

This project aims to predict the final grades (G2 and G3) of students based on various factors such as age, study time, family support, and more.It utilizes machine learning techniques to make predictions and offers insights into the factors affecting students' grades. The goal is to develop a predictive model that can assist in understanding the factors that influence student performance.

Dependencies

  • numpy
  • pandas
  • sklearn
  • seaborn
  • matplotlib

Conclusion

This project demonstrates the application of machine learning in predicting student grades based on various factors. The trained model can be used to make predictions and identify students who may need additional support.

Feel free to contribute, provide feedback, or report issues related to this project.

About

This project aims to predict the final grades (G2 and G3) of students based on various factors such as age, study time, family support, and more.It utilizes machine learning techniques to make predictions and offers insights into the factors affecting students' grades.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published