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Ziad Katrib will present Creating custom scikit-learn pipelines for IoT anomaly detection.
This talk will walk through building a customized scikit learn pipeline which can then be serialized and deployed for production. We will use the pipeline to detect outliers on a real IoT data set that includes a lot of outliers.
VENUE AND SPONSOR: Decisio Health ( https://decisiohealth.com/ ) has graciously offered to host our Python Meetup! We will be meeting at Decisio Health's office at 3900 Essex Ln. Suite #600 Houston, TX 77027, on the sixth floor. Decisio Health is excited to sponsor the Python Meetup, and we are excited to welcome this new venue opportunity.
FOOD/DRINK: Decisio will be providing Food (both vegetarian and meat varieties) as well as water, beer, and soda. If you have alternate preferences, please feel free to bring your own (perhaps from Central Market, next door). If your company would like to SPONSOR FOOD/DRINK for an upcoming meetup, please get in touch.
Note that air conditioning ends and custodial services begin at 9:00pm. Feel free to mingle afterwards, however we need to exit the office itself by 9:30pm so office staff can go home to their families.
PARKING: Plenty of marked VISITOR spots are available in the garage. Please DO NOT use "Reserved" parking, especially "Reserved Kelsey-Seybold" parking. (Parking at Central Market is also possible but "at your own risk" regarding their towing policies).
Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are especially welcome!
Presentations Wanted: If you'd like to share a topic with the group at an upcoming, let's talk!