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With Rachael Tatman (Data Preparation Analyst, Kaggle).
Tuesday, January 16, 2018 at 09:30 PM    Cost: Absolutely Free
Venue, Online
 
     
 
 
              

          
 
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If you'd like to watch this via Livestream:https://livestream.com/metis/events/7993128/

Dr. Rachael Tatman from Seattle is going to give an introduction to Kaggle & a beginner-friendly workshop on XG Boost algorithm.

About Rachael

Dr. Rachael Tatman has a PhD in Linguistics from the University of Washington. She studies computational sociolinguistics, or how our social identity affects the way we use language in computational contexts. She is currently a Data Preparation Analyst at Kaggle, where she's working to increase the breadth & depth of the data available on their public data platform.

About Metis

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, & corporate programs based in Seattle, New York, Chicago, & San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

Learn more about us athttps://thisismetis.com(https://thisismetis.com/)

Explore Demystifying Data Science: A Free Online Conferencehttps://www.thisismetis.com/demystify

Join our Metis Community Slack channelhere:https://bit.ly/metis-community-slack.

Metis Code of Conduct

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language & imagery is not appropriate for any event including talks, workshops, parties, & other online media. Individuals & groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

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 & promptly addressed.

 
 
 
 
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