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With Kimberly Fessel (Sr Data Scientist, Metis).
Sat, Jul 13, 2019 @ 10:00 AM   FREE   Venue, 27 E 28th St
 
   
 
 
              

      
 
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LOCATION
EVENT DETAILS

NOTE: Please register via the form below by July 11th to be considered. Thank you!

Form for registration: https://www.thisismetis.com/events/odab-registration-nyc

Back by popular demand, Metis NYC will be hosting One Day at Bootcamp to give you a chance to see what the experience is really like!
Youll receive free, interactive training in Python, focusing on Pandas & SciKit Learn from Metis Senior Data Scientist, Kimberly Fessel.

IMPORTANT NOTE: The curriculum is designed for those familiar with Python data structures, loops, functions, & other common programming requirements.

Please register via the form only if you plan to attend - seats are limited & in high demand.

Required prerequisites:

Familiarity with beginner Python

Computer with Anaconda installed

Schedule:

-10:00 - 10:30 - Setup & Orientation

- 10:30 - 11:00 - Intro to Machine Learning

- 11:00 - 12:00 - Intro to Pandas

- 12:00 - 1:00 - Lunch*

- 1:00 - 1:20 - Intro to Regression

- 1:20 - 3:00 - Predicting House Prices with Regression

*Lunch is not provided & it is recommended to bring your lunch

After a brief introduction to the concepts of machine learning, we'll dive into a hands-on session with Pandas to wrangle data.

After lunch, we'll reconvene & focus on the basic theory of linear regression & how to apply it in a practical way. We'll use a dataset about house prices in Iowa to learn to make useful predictions.

About the Metis Instructor:

Kimberly uses her background in applied math to discover data's what, why, & how.

Kimberly joins Metis from MRM//McCann, where she focused on helping clients understand their customers by leveraging unstructured data with modern NLP techniques. She is passionate about data storytelling & the power of compelling data visualizations to challenge pre-conceived assumptions. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute & completed a postdoctoral fellowship in math biology at the Ohio State University.

***THE METIS DEMYSTIFYING DATA SCIENCE CONFERENCE IS BACK!***

For the third year in a row, Metis is hosting Demystifying Data Science: A FREE, 2-day, Live Online Conference! Get more information & register for free here: https://thisismetis.com/demystify

Conference Details:
When: July 30-31, 2019
Time: 10am - 5pm ET
Where: Live Online
Cost: FREE
Register for the free online conference here: https://thisismetis.com/demystify

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 at (https://thisismetis.com).

Join our Metis Community Slack channel! Apply here:

http://bit.ly/MetisCommunitySlack

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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