Creating-my-own-ml-algorithms

Simple Univariate Linear Regression algorithm

You can access the PDF document from the following Google Drive link: https://drive.google.com/file/d/1TrkHoBFQVj8HJUjYYV2USLsolJADMq9P/view?usp=sharing

Overview

This repository contains details about the Univariate Linear Regression Algorithm. The algorithm is a fundamental machine learning technique used to model the relationship between a single independent variable and a dependent variable by fitting a linear equation to observed data.

Content

The detailed explanation of the Univariate Linear Regression Algorithm is provided in a PDF document. The PDF includes,

• Introduction to Linear Regression
• Hypothesis Representation
• Cost Function
• Gradient Descent Algorithm
• Linear Algebra in Regression
• Example and Visualization
• Mathematical Derivations
• Code Implementation

Google Drive Link

You can access the PDF document from the following Google Drive link: https://drive.google.com/file/d/1TrkHoBFQVj8HJUjYYV2USLsolJADMq9P/view?usp=sharing

How to Use

• Download the PDF: Click on the Google Drive link above to view and download the PDF document.
• Study the Algorithm: Go through the document to understand the theoretical concepts and practical implementations of the Univariate Linear Regression Algorithm.
• Implement the Code: Use the provided code examples to implement the algorithm in your own projects.

Contributing

Contributions are welcome! If you have any improvements or suggestions, feel free to create an issue or submit a pull request.

live coding video and pdf will upload soon....