Regressions. Reimagined.

50 classic regression models — explained as stories. Learn the idea, see the math, run the code, and visualize results. Open-source. Zero cost.

Four Parts. One Complete Story.

Each regression page is structured to guide you from problem to solution, combining narrative, theory, practice, and visualization.

Why this matters — real-world context and use cases explained through personas and stories.

The math & intuition — understand the core concepts with minimal equations and clear diagrams.

Run it, tweak it — executable code with NumPy from scratch and scikit-learn implementations.

See it in motion — interactive visualizations with parameter controls and real datasets.

From curiosity to mastery in five simple steps.

Browse 50+ regression models organized by complexity and use case.

Meet a persona with a real problem that needs solving with data.

Learn the mathematical intuition with clear explanations and diagrams.

Execute working examples in NumPy or scikit-learn, copy and adapt.

Interact with graphs, adjust parameters, and see the model in action.

Browse 50+ regression models organized by complexity and use case.

Meet a persona with a real problem that needs solving with data.

Learn the mathematical intuition with clear explanations and diagrams.

Execute working examples in NumPy or scikit-learn, copy and adapt.

Interact with graphs, adjust parameters, and see the model in action.

If this helps, give us a star on GitHub — it fuels contributors and keeps the project free.

MIT License • Open Source • Community Driven

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