Graduate Admission Prediction Model
A graduate application is to be completed by a student who wants to enroll in a Master's or doctoral degree. A graduate application will be reviewed by the department that the student applies to by a Graduate Program Director and/or an admissions committee.
So in this dataset we will predict the chance of getting admitted to the applied branch or college based on GRE score, TOEFL score, University ranking, SOP, LOR, CGPA and Research papers published.
This is a Regression Problem.
From the notebook it is very much clear that, Linear Regression returned maximum score. Thus the model is built on the basis of Linear Regression Algorithm.
conda create --prefix ./env python=3.8 -y
conda activate ./env
pip install -r requirements.txt
python predict.py
docker image build -t admn-pred .
docker run -p 5000:5000 -d admn-pred
docker tag admn-pred rohandhanraj/admission-prediction
docker push rohandhanraj/admission-prediction
Platform: Heroku
Code Repo: GitHub
git init
git add .
git commit -m "first commit"
git branch -M main
git remote add origin https://github.com/rohandhanraj/Admission_Prediction
git push -u origin main
heroku login
heroku git:remote -a admn-predixn
git push heroku main
Check the application at: https://admn-predixn.herokuapp.com/