<p>A comprehensive collection of machine learning algorithms implemented both from scratch and using popular libraries. Each implementation includes detailed explanations, mathematical concepts, and practical examples.</p>
<h3>🎯 Project Goal</h3>
<p>This repository aims to provide clear, well-documented implementations of machine learning algorithms to help understand their inner workings. Each algorithm is implemented twice:</p>
<p>From scratch using NumPy (to understand the core concepts)
Using popular libraries like scikit-learn (for practical applications)</p>
<p><a href="https://github.com/XCollab/ML-Algorithms-From-Scratch.git" target="_blank" rel="noopener nofollow">Github</a>
Also the join The Open source  <a href="https://github.com/XCollab" target="_blank" rel="noopener nofollow">GitHub organization</a></p>


Get 1% better daily. Development resource sharing made easy. Post, comment, or upvote to show your contribution and support other developers! 🙌

⚠️ Please do not post any promotional resources.

Dev Squad

A thorough collection of machine learning algorithms, each implemented from scratch using NumPy and with popular libraries like scikit-learn. The repository includes detailed explanations, mathematical concepts, and practical examples to aid comprehension.

ML Algorithms From Scratch