PREDICTING THE CHANCE OF UNIVERSITY ADMISSION
Published in
1 min readSep 20, 2019
- In this project, a regression model is developed to predict the probability of being accepted for Graduate school.
- Data Source: https://www.kaggle.com/mohansacharya/graduate-admissions
The dataset contains the following parameters:
— GRE Scores ( out of 340 )
— TOEFL Scores ( out of 120 )
— University Rating ( out of 5 )
— Statement of Purpose and Letter of Recommendation Strength ( out of 5 )
— Undergraduate GPA ( out of 10 )
— Research Experience ( either 0 or 1 )
— Chance of Admit ( ranging from 0 to 1 )