We've made an open source contribution that makes it easier to draw a dataset from inside your notebook environment. It turns out that Jupyter is a great environment for interactive computation, and that we can re-actively update scikit-learn models as we draw data!
Video Chapters:
00:00 Drawing a dataset
02:51 Reactive
07:25 Anywidget
If you're interested in drawing data yourself, check out this project:
https://github.com/koaning/drawdata
The code for all of our videos can be found on this Github repository:
https://github.com/probabl-ai/youtube-appendix/
The code for this specific episode can be found here:
https://github.com/probabl-ai/youtube-appendix/blob/main/04-drawing-data/notebook.ipynb
This whiteboard video is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media.
Website: https://probabl.ai/
LinkedIn: https://www.linkedin.com/company/probabl
Twitter: https://x.com/probabl_ai
We also host a podcast called Sample Space, which you can find on your favourite podcast player. All the links can be found here:
https://rss.com/podcasts/sample-space/
If you're keen to see more videos like this, you can follow us over at @probabl_ai.
#probabl