Skip to content

Regression model to predict Ivy league graduate admission outcomes from GPA, GRE scores, and extracurricular involvement of students.

Notifications You must be signed in to change notification settings

UmaRamanathan-DA/Jamboree-Ivy-League-Admissions-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 

Repository files navigation

Jamboree-Ivy-League-Admissions-Prediction

Predicted graduate admission outcomes by analyzing key factors influencing graduate admissions and predicted Ivy League admission chances using a Linear Regression model.

  • Predicted graduate admission outcomes by analyzing GPA, GRE scores, and extracurricular involvement.
  • Built a Linear Regression model to identify critical variables and provide actionable insights for targeted product improvements.
  • Enabled better applicant outcomes through data-driven recommendations.
  • From data perspective, recommended incorporating qualitative factors like personal statements for more comprehensive predictions.

Skills and Tools

  • Python, Linear Regression, Predictive Analytics, Data Visualization

About

Regression model to predict Ivy league graduate admission outcomes from GPA, GRE scores, and extracurricular involvement of students.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published