Educational regression models built from scratch in Python
Project description
RegressionLib
RegressionLib is a lightweight, educational regression library implemented from scratch in Python with NumPy. It supports multiple regression models, aiming to help students and researchers understand the mathematical foundations of regression algorithms without the black-box nature of larger frameworks.
🚀 Features
- Linear Regression
- Lasso Regression (L1 regularization)
- Ridge Regression (L2 regularization)
- Polynomial Regression
- Clean, beginner-friendly API (
fit,predict,evaluate) - Minimal dependencies (NumPy only)
- Clear educational codebase, easy to extend
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