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🧠Machine Learning Algorithms — From Scratch

A modular collection of machine learning algorithms implemented from scratch in Python.
This repository is focused on understanding how algorithms work internally, from the underlying math to code implementation — without using high-level ML libraries like scikit-learn.


📚 Overview

🧩 Supervised Learning

Category Algorithms
Regression Linear Regression · Locally Weighted Regression · Regularization (L1/L2) · Normal Equation
Classification Logistic Regression · Binary Classifier · Regularization

🌀 Unsupervised Learning

Category Algorithms
Clustering K-Means · DBSCAN
Dimensionality Reduction PCA (Principal Component Analysis)

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