A growing collection of my personal notes on regression fundamentals. This repo is a living document, and I’ll keep updating it as I explore new ideas, methods, and examples.
1. Univariate Linear Regression — Modeling simple one-variable relationships.
2. Multiple Linear Regression — Extending the model to multiple predictors.
3. Polynomial Regression — Capturing nonlinear patterns with higher-degree terms.
- Contour Plot Explanation (left image)
- Gradient Descent Convergence Check (right image)
These notes combine material from:
- Machine Learning Specialization (DeepLearning.ai) — structured course content.
- Geeks for Geeks — reference articles and explanations.
- My personal notes — reflections, derivations, and worked examples.
- Browse the notes directly on GitHub.
- Clone the repo to explore and run examples locally.
- Expect frequent updates as I add new insights.
This project is intended to grow over time.
If you notice missing topics, find errors, or would like me to cover specific aspects of regression, you can:
- Open an issue describing your suggestion or request.
- Submit a pull request with additional notes or corrections.
- Share feedback through discussions to help improve these resources.
Hope it helps.