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A Regression model for predicting the chance of Admit for a student applying for admission at a University.

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Muhammad-Zeerak-Khan/regression-lr-model

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Admission Score Prediction Model

A Regression model for predicting the chance of Admit for a student applying for admission at a University.

Having the input features : GRE Score, TOEFL Score, University Rating, SOP, LOR, CGPA and Research.

Dataset link

https://www.kaggle.com/code/bikiranguha/admission-predictor/data

Website link

For live admission score predictions hit the url: https://regression-lr-model.herokuapp.com

Tech Stack

  • Front-End: HTML, CSS
  • Back-End: Flask
  • IDE: Pycharm

How to run this app

  • First create a virtual environment by using this command:
  • conda create -n myenv python=3.7
  • Activate the environment using the below command:
  • conda activate myenv
  • Then install all the packages by using the following command
  • pip install -r requirements.txt
  • Now for the final step. Run the app
  • python app.py

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A Regression model for predicting the chance of Admit for a student applying for admission at a University.

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