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AMA About Data Science Competitions

August 5, 2019 @ 4:00 pm - 5:00 pm

NOTE: This is a live “Ask Me Anything” within the Metis Community Slack channel. To join, apply at the link below.

http://bit.ly/MetisCommunitySlack

Once you’re in, join the #general channel and ask away!

Data Science and Machine Learning competitions have become increasingly popular in recent years, evidenced by Kaggle’s growth as a community to over 2 million users. Competitions can be a great opportunity to flex one’s predictive modeling skills and work with challenging new datasets, but at the same time are typically focused on a fairly narrow slice of the overall data science skillset.

Hear from Metis NYC based Senior Data Scientist Joe Eddy on the pros and cons of competitions as a learning tool as well as tips and tricks for how to succeed in competitions. Joe has achieved Kaggle competitions master status, with 3 top 1% finishes. You can check out his Kaggle profile here – http://www.kaggle.com/aquatic.

Bring any questions you have about competitions or Joe’s broader experience in Data Science and as a Metis instructor.

Joe loves tackling unusual problems with the tools of data science and has a passion for effectively communicating quantitative ideas.

As both a math enthusiast and a former competitive debater, Joe was drawn to data science by its place at the intersection of statistics, computing, and communication. He has worked on projects ranging from quantifying and comparing story plots to building a Bayesian model of human rights abuse rates that accounts for informational bias. Before transitioning into data science, he worked in various data analytics roles, most recently as an Equity Research associate on Credit Suisse’s portfolio strategy team. He holds a B.A. in Mathematics from Columbia University, and is also a Metis alumnus. He currently coaches NYU’s parliamentary debate team, and in his free time he enjoys playing piano, reading, and playing board games.

Check out content by Joe:

GitHub: http://jeddy92.github.io/JEddy92.github.io/

Safety in Numbers – My 18th Place Solution to Porto Seguro’s Kaggle Competition: http://jeddy92.github.io/JEddy92.github.io/seguro/

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About Metis

Metis (http://thisismetis.com/) accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps.

The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle.

On the corporate side, Metis works with large organizations who want to up-skill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education.

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Join our Metis Community Slack channel!

Apply here: http://bit.ly/MetisCommunitySlack

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Metis Code of Conduct

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If you have any questions or you’re made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

Details

Date:
August 5, 2019
Time:
4:00 pm - 5:00 pm
Event Category:
Website:
http://www.meetup.com/Metis-Seattle-Data-Science/events/263582252/

Venue

Seattle
Virtual Program
Seattle, WA 98109 United States
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