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 )
- Create Flask API.