Skip to content

Latest commit

 

History

History
27 lines (20 loc) · 669 Bytes

README.md

File metadata and controls

27 lines (20 loc) · 669 Bytes

Student marks Prediction


Description

This is a simple web app to predict the student's marks in the final exams.


Tools used are:

  1. HTML, CSS, Bootstrap
  2. Machine Learning (Linear Regression)
  3. Flask

Installation Guides

Requirements to use:

  1. install python on your pc

  2. pip install flask

  3. pip install sklearn

  4. First clone the repository either using the "git clone <repo_link>" or download the zip file.

  5. Open the terminal and navigate to that folder

  6. Open app.py and run command "python app.py" in the terminal

  7. You'll see a link in the terminal. Follow that link to access the web app.

The web page