<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>

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Comprehensive implementations of machine learning algorithms from scratch using NumPy and with popular libraries like scikit-learn. Detailed explanations cover mathematical concepts and practical examples to help understand the inner workings of these algorithms.

ML Algorithms From Scratch