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.