Masters-Admission-Prediction is a Machine Learning based web application. This application was built with the purpose of helping students in shortlisting universities with their profiles. The predicted output gives them a fair idea about their chances for a particular university.
Context : This app is created for the prediction of Graduate Admissions from an Indian perspective. Content : The dataset contains several parameters which are considered important during the application for Masters Programs.
The parameters included are :
- GRE Scores ( out of 340 )
- TOEFL Scores ( out of 120 )
- University Rating ( out of 5 )
- Statement of Purpose Strength ( out of 5 )
- Letter of Recommendation Strength ( out of 5 )
- Undergraduate GPA ( out of 10 )
- Research Experience ( either 0 or 1 )
Output :
- Chances of Admission : range in ( 0% - 100 %)
- Either fork or download the app and open the folder in any IDE or CLI.
- Install all the dependencies mentioned in the requirements.txt file.
- Start the web server using
python application.pyin the terminal/CLI or run the application in the IDE. - The app will be served at http://localhost:5000/.
- Go to http://localhost:5000/ in your browser and pass required input fields and get results.
- Python 3.6
- flask
- pandas
- psycopg2
- scipy
- scikit-learn
- sklearn