Turning Operations into Predictive Systems

Seeing ML

Understand Machine Learning through interactive visualizations.
Geometry, intuition, and industrial context. No empty formulas.

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Where do you want to go?

Three ways to explore

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.

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Industry
ML in Manufacturing

Why does Machine Learning matter in a plant? Understand predictive maintenance, how models read sensor data, and where ML fits in real industrial operations.

Maintenance Quality Operations SCM
→ Explore industry
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Models
Interactive ML Models

11 supervised learning models with real algorithms running in your browser. Classification, regression, regularization.

8 live demos 11 models Open code
→ Explore models
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GitHub
Open Repositories

All projects open. Real datasets, real use cases, real code. Built for people who work in operations.

→ github.com/LozanoLsa
Not an oracle.
Not a black box.
Just code, statistics,
and the right questions.
About this project

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.