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Welcome to the Help section of the High School Machine Learning Curriculum! Below are answers to some frequently asked questions and guidance to help you make the most of this resource.

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What is this curriculum about?

This curriculum is designed to introduce high school students to key concepts in machine learning. It provides educators with resources, example code, and lesson plans focused on foundational algorithms and real-world applications.

How do I access the files and lesson materials?

All files, including slides, example datasets, and code snippets, are organized by topic within the "Files Repository" of the website. Just download the respective slides on a topic and read the descriptions of the coding examples

Who is this curriculum intended for?

This curriculum is intended for high school educators and students who are new to machine learning. It provides a structured approach to learning basic ML concepts without requiring extensive prior knowledge.

Can I adapt these materials for my own classroom?

Absolutely! Feel free to use, adapt, or expand upon the resources provided here to suit your teaching needs. If you would like any guidance on modifying materials, don’t hesitate to reach out.

Why aren’t there more advanced topics covered?

Since this is a student-led project as part of a matura thesis, it focuses on introducing fundamental ML concepts and doesn’t cover more advanced topics in depth. However, you’ll find resources here that lay a solid foundation for more advanced studies.

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For any questions, feedback, or further assistance, feel free to contact me via [[email protected]]

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