scikit-learn provides two popular ways to build tree ensembles: Gradient Boosting Decision Trees (GBDT) and Random Forests. In version 0.21, scikit-learn introduced its own Histogram-based GBDT inspired by LightGBM. In this talk, we will learn the underpinnings of GBDT and Random Forests, the differences between them, how each algorithm is optimized in scikit-learn, and how to interpret them. EVENT:
PyData Austin 2019 SPEAKER:
Thomas J Fan PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w INTERESTED IN STOCK MARKET?
I developed a successful stock market trading model: https://yuriymatso.com/my-market-model/ https://www.youtube.com/watch?v=5hysNicaR9Y

As web apps and user interfaces become increasingly more dynamic and complex, structuring stylesheets for every possible state can be a challenge. David explores innovative ways of organizing our styles, adding complex interactivity and meaningful transitions, and comprehensively test UIs through a decades-old concept – finite state machines. With ARIA, data-attributes, and CSS variables, state machines can bring a new level of maintainability, testability, and interactivity to your styles. EVENT:
dotCSS 2019 SPEAKER:
David Khourshid PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed) ATTRIBUTION CREDITS:
Original video source: https://www.youtube.com/watch?v=mqYdgTaY03M INTERESTED IN STOCK MARKET?
I developed a successful stock market trading model: https://yuriymatso.com/my-market-model/ https://www.youtube.com/watch?v=BETqXqN4kq4

Copying and pasting code multiple times creates spaghetti code.This is especially true for a lot of data science based Jupyter notebooks. Watch this video to learn some tricks and tips on how to prevent miles of scrolling and reduce the spaghetti code when creating Jupyter notebooks. EVENT:
PyData Eindhoven 2019 SPEAKER:
Vincent D. Warmerdam PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w https://www.youtube.com/watch?v=MpFZUshKypk