Welcome to ML-From-Scratch, a comprehensive collection of fundamental machine learning algorithms meticulously implemented from the ground up using pure Python. This repository avoids the use of high-level machine learning libraries like Scikit-learn or TensorFlow, focusing instead on building a deep understanding of the core concepts and mathematics behind these algorithms.
- Hands-on Learning: Gain insights into how machine learning algorithms work under the hood.
- Pure Python Implementation: Built using foundational libraries like NumPy and Pandas for maximum transparency.
- Educational Focus: Ideal for students, educators, and enthusiasts looking to strengthen their grasp of machine learning fundamentals.
Dive in and start exploring the building blocks of machine learning!