Intro to Machine Learning

Galvanize Seattle

This FREE event is especially for aspiring coders in Seattle who is interested in Machine Learning!
Learn more Python + Data Science and much more with Galvanize Data Science Premium Prep! Currently free if you sign up now! <A CLASS="link" HREF="http://bit.ly/2u0cahU" TARGET="__blank" TITLE="http://bit.ly/2u0cahU" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">http://bit.ly/2u0cahU</A> Live one-on-one staff support during class hours Expert-led Python, statistics and probability curriculum Group feedback on course exercises Personalized progress updates <A CLASS="link" HREF="http://bit.ly/2u0cahU" TARGET="__blank" TITLE="http://bit.ly/2u0cahU" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">http://bit.ly/2u0cahU</A>
This is a friendly workshop focused on learning about Machine Learning for beginners!!
What You'll Learn: What is Machine Learning We will  implement a machine learning model!
How to Prepare:
- Bring your laptop, fully charged (bring your charger just in case)
- Install Google Chrome (any browser will do, but Chrome can do some cool things): https://www.google.com/chrome/browser/desktop/
- We'll use google colab so make a google account if you want to follow along!
Prerequisites:
None
About Galvanize:
Galvanize is premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:
Education - part-time and full-time training in web development, data science, and data engineering
Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth
Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences
To learn more about Galvanize, visit galvanize.com.

Galvanize Seattle - Pioneer Square

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Intro to Machine Learning

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Intro to Machine Learning

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