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.
| Category | Algorithms |
|---|---|
| Regression | Linear Regression · Locally Weighted Regression · Regularization (L1/L2) · Normal Equation |
| Classification | Logistic Regression · Binary Classifier · Regularization |
| Category | Algorithms |
|---|---|
| Clustering | K-Means · DBSCAN |
| Dimensionality Reduction | PCA (Principal Component Analysis) |