Machine Learning Algorithm Implementations

This repository contains implementations of various machine learning algorithms, including:

• Gaussian Mixture Model (GMM)
• K-Means Clustering
• Linear Regression (Gradient Descent)
• Logistic Regression (Gradient Aescent & Stochastic Gradient Descent)

Each algorithm is implemented from scratch with a focus on clarity and educational value.
Explore the individual repositories for code, explanations, and visualizations.