Adventures in Machine Learning
ML 026: Sweetviz with Francois Bertrand
Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow engineers to make qualitative calls regarding the data they use to train their models or evaluate the results they get from models after the fact. Francois explains how he built it and how to use it for these types of uses.
April 08, 2021
Episode 26
Hosted by
ML 026: Sweetviz with Francois Bertrand
Adventures in Machine Learning
0:00
0:00
Speed:
Share This Episode
Show Notes
Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow engineers to make qualitative calls regarding the data they use to train their models or evaluate the results they get from models after the fact. Francois explains how he built it and how to use it for these types of uses.
Panel
- Charles Max Wood
- Miguel Morales
Guest
- Francois Bertrand
Sponsors
Links
Picks
- Charles- Dev Influencers | Devchat.tv
- Charles- Teachable: Create and sell online course and teaching
- Charles- Walkie Talkie App for Team Communication | Voxer
- Charles- ThriveCart
- Charles- ScreenFlow
- Francios- Featuretools | An open source python framework for automated feature engineering
- Miguel- Deep Unsupervised Learning -- Berkeley Spring 2020