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.
- Python, Linear Regression, Predictive Analytics, Data Visualization