https://github.com/yashkathe/final-grades-estimator-regression

A linear regression model that predicts student performance based on various educational factors, implemented using pytorch. Also implemented Linear Regression from scratch without any libraries
https://github.com/yashkathe/final-grades-estimator-regression

linear-regression pytorch regression-models supervised-learning

Last synced: about 4 hours ago
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A linear regression model that predicts student performance based on various educational factors, implemented using pytorch. Also implemented Linear Regression from scratch without any libraries

• Host: GitHub
• URL: https://github.com/yashkathe/final-grades-estimator-regression
• Owner: yashkathe
• License: mit
• Created: 2024-07-23T15:01:27.000Z (4 months ago)
• Default Branch: master
• Last Pushed: 2024-07-29T17:13:47.000Z (3 months ago)
• Last Synced: 2024-07-30T08:01:06.199Z (3 months ago)
• Topics: linear-regression, pytorch, regression-models, supervised-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 2.02 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md
  • License: LICENSE.md

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README

        
# Linear Regression

Linear regression is a fundamental statistical method used in machine learning to model the relationship between a dependent variable and one or more independent variables. It is particularly useful for predicting outcomes based on input data  

## Dataset

1. [Regression] Student Performance:  

## Table of Content

- [Linear Regression from scratch](./linear_regression_from_scratch.ipynb)  

- [Mathematics behind Linear Regression](./Linear-Regression-Mathematics-notes.pdf)

- [Predict Student Performance](./predict-student-performance.ipynb)

## Score Prediction Graph  

R2 Score: 0.95  

![Scaled Score Graph](image.png)