Skip to content

This repository contains code and resources for predicting student scores based on study hours. It includes data analysis, visualization tools, and machine learning models.

Notifications You must be signed in to change notification settings

nisaa4/Predicting-Scores-Based-on-Study-Hours

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Predicting-Scores-Based-on-Study-Hours

This project aims to build a prediction model that can forecast students' scores based on their study hours. The data used includes information on the number of study hours and scores from a group of students.

Requirements

pandas version=2.0.3 matplotlib version=3.7.1 seaborn version=0.13.1 numpy version=1.25.2

About

This repository contains code and resources for predicting student scores based on study hours. It includes data analysis, visualization tools, and machine learning models.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages