Linear-Regression-from-Scratch and Linear-Regression-From-Scratch

These are competitors—both implement linear regression with gradient descent from scratch in Python, targeting the same learning objective with overlapping functionality, so a user would select one based on preference for either the custom implementation approach (A) or the Jupyter Notebook walkthrough format (B).

Linear-Regression-from-Scratch
30
Emerging
Linear-Regression-From-Scratch
23
Experimental
Maintenance 0/25
Adoption 5/25
Maturity 9/25
Community 16/25
Maintenance 0/25
Adoption 4/25
Maturity 1/25
Community 18/25
Stars: 14
Forks: 6
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 5
Forks: 15
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Linear-Regression-from-Scratch

mahdi-eth/Linear-Regression-from-Scratch

This project implements a Python-based linear regression model from scratch, complete with custom functions for mean squared error and gradient descent algorithm. It is tested on data, using features to predict target variables. The project offers a practical introduction to linear regression.

About Linear-Regression-From-Scratch

raun1997/Linear-Regression-From-Scratch

This repo houses a Jupyter Notebook which is intended to walk you through Gradient Descent Algorithm from scratch.

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