ML Algorithms from Scratch 🎯

Welcome to ML Algorithms from Scratch, a fun and educational project where we implement popular machine learning algorithms without relying on high-level libraries. This repository is all about getting to the core of how these algorithms work, step by step.

🚀 What’s Inside?

• Implementations of foundational ML algorithms, written from scratch.
• Clear, well-documented code to help you understand the math and logic behind each algorithm.
• Examples to demonstrate how each algorithm performs.

📚 Algorithms Included

• Regression (Linear, Logistic)
• Decision Trees and Random Forests
• Support Vector Machines
• Clustering (K-Means, Hierarchical)
• Neural Networks (Simple to Advanced)
• Optimization techniques like Gradient Descent
• And many more to come!

🌟 Why This Project?

• To demystify the "magic" behind machine learning libraries.
• To build a deeper understanding of the fundamental principles of ML.
• To have fun coding, learning, and growing!