Data and open-source credits
The playground is possible because researchers and open-source maintainers make learning materials available for reuse. Local copies may be cleaned, combined, filtered, or reformatted for teaching.
UCI datasets · CC BY 4.0
Seoul Bike Sharing Demand, Wine Quality, Breast Cancer Wisconsin (Diagnostic), and Car Evaluation are from the UCI Machine Learning Repository and used under CC BY 4.0. Copies are adapted for browser teaching.
Candy Power Ranking · CC BY 4.0
Candy Power Ranking is from FiveThirtyEight’s data repository and used under CC BY 4.0. The local copy is reformatted for the playground.
Gapminder · CC BY 4.0
Based on free material from GAPMINDER.ORG, CC-BY LICENSE. The local five-year country extract is adapted and the machine-learning route filters it to 2007.
Palmer Penguins · CC0
Palmer Penguins data by Horst, Hill and Gorman (2020), DOI 10.5281/zenodo.3960218, are available under CC0. This app uses a complete-case teaching subset of the upstream file. Data were collected by Dr Kristen Gorman and the Palmer Station LTER; we gratefully acknowledge Palmer Station LTER and the US LTER Network.
Fonts
JetBrains Mono, Nunito, and Silkscreen are used under the SIL Open Font License 1.1. Their full license texts are bundled with the app.
App and Python runtimes
Capacitor and its native plugins retain their MIT notices; the bundled @capacitor/synapse helper is used under the ISC License. Pyodide, CPython, NumPy, pandas, matplotlib, SciPy, scikit-learn, Pillow, OpenBLAS, seaborn, and their runtime dependencies retain their respective open-source notices. The complete bundled notice manifest links every shipped notice file.
These acknowledgements identify the source and license; they do not imply endorsement by any contributor or institution.