rohandhanraj / admission_prediction

Admission_Prediction

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.

Dataset

Kaggle.

GitHub

Commands to run the model on local machine

Creating a virtual environment for the model

conda create --prefix ./env python=3.8 -y

Activating the virtual environment

conda activate ./env

Installing the Required Libraries

pip install -r requirements.txt

Testing the model on localhost

python predict.py

Commands to build and run the model using Docker container

Building the Docker image of the Model

docker image build -t admn-pred .

Running the docker container

docker run -p 5000:5000 -d admn-pred

Pushing the Docker container to DockerHub

docker tag admn-pred rohandhanraj/admission-prediction

docker push rohandhanraj/admission-prediction

Docker Image

Deployment

Platform: Heroku
Code Repo: GitHub

Pushing Code to 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

Deploying on Heroku

heroku login

heroku git:remote -a admn-predixn

git push heroku main

Public Endpoint:

Check the application at: https://admn-predixn.herokuapp.com/