This is a Flask app for students applying for a Masters level course to universities in USA. It predicts how confident you should be of your application based on the confidence and credentials of your peers.
Originally a kaggle task to acquire the lowest RMSE, I decided to build on my end to end project making skills and create a flask app with the data, which can be found here https://www.kaggle.com/mohansacharya/graduate-admissions
https://grad-admission.herokuapp.com/
To install the required packages and libraries, run this command in the project directory after cloning the repository:
pip install -r requirements.txtLogin or signup in order to create virtual app. You can either connect your github profile or download ctl to manually deploy this project.
Our next step would be to follow the instruction given on Heroku Documentation to deploy a web app.
This dataset is inspired by the UCLA Graduate Dataset. The test scores and GPA are in the older format. The dataset is owned by Mohan S Acharya.
Mohan S Acharya, Asfia Armaan, Aneeta S Antony : A Comparison of Regression Models for Prediction of Graduate Admissions, IEEE International Conference on Computational Intelligence in Data Science 2019