What we're about

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html)governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer: Safia Abdalla (safia@safia.rocks) or NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org).

Upcoming events (1)

Interpretable Machine Learning with Python

Online event

Full Title: Interpretable Machine Learning with Python — What qualities make for a highly rated chocolate bar? Abstract: In the first part of this workshop, we will provide some context to what value interpretation can provide to machine learning practitioners. In a nutshell: models learn from our data, and we can learn a lot from our models… but only if we interpret them! In part two, we kick off the more hands-on portion of the workshop! We will train classification models with chocolate bar ratings to identify which ones are highly recommended by chocolate experts: one SVM model on tabular data and a LightGBM NLP model. We will then employ popular model-agnostic interpretation methods to interpret these "black-box" models' decisions such as SHAP and Local Interpretable Model-Agnostic Explanations (LIME). That way, chocolatiers can understand what features correlate the most with these high ratings. Short Bio: Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a Data Scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a search engine startup, incubated by Harvard Innovation Labs. Serg is passionate about providing the often-missing link between data and decision-making. His book titled "Interpretable Machine Learning with Python" is scheduled to be released in early 2021 by UK-based publisher Packt. Join from a PC, Mac, iPad, iPhone or Android device: Please click this URL to join. https://zoom.us/j/92062123325?pwd=Q2RINXVlTlp3NkFQRllOUFRqZHBSQT09 Passcode:[masked] Or join by phone: Dial(for higher quality, dial a number based on your current location): US: [masked] or [masked] or [masked] or [masked] or [masked] or [masked] Webinar ID:[masked] International numbers available: https://zoom.us/u/abs6ysH89i Or an H.323/SIP room system: H.323:[masked] (US West)[masked] (US East)[masked] (India Mumbai)[masked] (India Hyderabad)[masked] (Amsterdam Netherlands)[masked] (Germany)[masked] (Australia)[masked] (Singapore)[masked] (Brazil)[masked] (Canada)[masked] (Japan) Webinar ID:[masked] Passcode:[masked] SIP:[masked]@zoomcrc.com Passcode:[masked]

Photos (15)