Name: ChiPy Data SIG presents Anomaly Detection & Data Tools
Start: 2020-10-21T18:00:00-05:00
End: 2020-10-21T20:00:00-05:00

This event will be Live Streamed to our YouTube Channel: https://www.youtube.com/watch?v=hDK8lTeKR9Y

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AGENDA
6:00 - Broadcast starts on YouTube
8:30 - Estimated end time

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Our talks:

Branching Out into Isolation Forests: Tree Based Anomaly Detection
by Stephanie Kirmer

Isolation forests offer a new way to approach unsupervised anomaly detection problems, and in this talk attendees will get an end-to-end tutorial with code and visual explanations on how to apply the technique. Among other advantages, isolation forests offer interpretability and rapid runtime, so they are useful in business and production settings.

Bio:
Stephanie Kirmer is a Senior Data Scientist at Saturn Cloud, a platform enabling easy to use parallelization and scaling for Python with Dask. Previously she worked as a DS Tech Lead at Journera, a travel data startup, and Senior Data Scientist at Uptake, where she developed predictive models for diagnosing and preventing mechanical failure. Before joining Uptake, she worked on data science for social policy research at the University of Chicago and taught sociology and health policy at DePaul University.

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A raw-SQL handler for SQLAlchemy
by Thomas Yager-Madden

How and why I made sqla-raw for submitting plain SQL code from Python applications

https://github.com/tym-xqo/sqla-raw

Bio:
Data Architect at BenchPrep

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We are looking for one more speaker for this event. Please talk proposals via http://bit.ly/chipy-sig-cfp

Aly Sivji

ChiPy: Chicago's Official Python User Group

Technology

Python

Programming Languages

Computer Programming

Python Web Development

ChiPy Data SIG presents Anomaly Detection & Data Tools

Online event

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ChiPy: Chicago's Official Python User Group

ChiPy Data SIG presents Anomaly Detection & Data Tools

ChiPy: Chicago's Official Python User Group

Details

This event will be Live Streamed to our YouTube Channel: https://www.youtube.com/watch?v=hDK8lTeKR9Y

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