ML Library

Machine learning lessons with Python examples and interactive playgrounds

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ML Library — application screenshot

Overview

A machine learning workbench organized around understanding an idea, trying its code, and taking it into a real project.

The Build

The catalog spans regression, classification, clustering, and ensembles. Lessons connect prerequisites with Python examples and interactive playgrounds so a technique has context before it becomes a snippet.

Status

The public library contains 21 techniques across four learning levels. Lesson content is in Thai, with familiar English model and programming terms.

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