Skip to content

This project aims to predict student grades using various independent features. It involves data wrangling, exploratory data analysis, data visualization, and linear regression. The project uses Python and Jupyter notebooks for implementation.

jayantverma2809/Student-Grade-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

Student-Grade-Prediction

Objective

The purpose of this project is to predict the grades of the students using various independent features of students

Methoda Used

  • Data Wrangling
  • Exploratory Data Analysis
  • Data Visualization
  • Linear Regression

Technologies Used

  • Python
  • Jupyter

About

This project aims to predict student grades using various independent features. It involves data wrangling, exploratory data analysis, data visualization, and linear regression. The project uses Python and Jupyter notebooks for implementation.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published