Understand Machine Learning through interactive visualizations.
Geometry, intuition, and industrial context. No empty formulas.
Start with the industrial context — why ML matters on the floor. Explore the models and live demos. Or go straight to the open code on GitHub.
11 supervised learning models with real algorithms running in your browser. Classification, regression, regularization.
All projects open. Real datasets, real use cases, real code. Built for people who work in operations.
Everyone is talking about AI. Most treat it like an oracle. Here's what it actually is: Code. Statistics. Data. Things we've had for decades — we just weren't asking the right questions.
I've spent several years in Operational Excellence roles — Lean, Six Sigma, Continuous Improvement on the floor. Plants full of data. Machines sending signals. People making reactive decisions. So I decided to build the bridge.
Projects. Real use cases. Open code. Not a course. Not a pitch. Just the honest path — including the mistakes — so others can go further without hitting the same walls.
If you work in operations, maintenance, quality, or CI — let's connect, collaborate, and learn together. More projects are on the way.