Education & Training
Hands-on ML labs without cloud accounts or complex setup.
Typical problems
- Students struggle with environment setup instead of learning concepts.
- Credentialed cloud access is hard to manage for short courses.
- Inconsistent grading due to unreproducible runs.
How DataWizardML helps
- Local install that works on lab PCs or laptops.
- Guided pipeline flow that mirrors best-practice steps.
- Re-runnable runs for consistent grading and demos.
Example use cases
- Intro to ML workflows, data prep, and evaluation.
- Capstone baselines before custom modeling courses.
- Corporate workshops with bring-your-own-data labs.
Getting started
- Install in a lab; share a starter dataset and exercise steps.
- Capture runs for submission; discuss changes in class.
Ask about classroom kits