2-Day Python and Machine Learning Bootcamp Series
- All levels
- 18 and older
- $375
- Online Class, Seattle, WA
- 14 hours over 2 sessions
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Machine Learning is perhaps the most powerful force in technology, and Python is perhaps the most popular language for doing it. This 2-day workshop helps students understand, build, and interpret machine learning models using the python ecosystem.
This workshop will introduce you to the most important machine learning concepts in a way that’s clear, accessible, and easy to put into action. With no assumed knowledge of Machine Learning, you’ll understand how to think about and interpret Machine Learning problems, and best practices for using the most popular machine learning techniques in a variety of domains.
It starts with the basics of Python’s major data science libraries (Numpy, Pandas, and SciKit Learn), and builds on these to help you implement state-of-the-art machine learning techniques on your own data.
Session I: Python-for-Data Basics, Machine Learning Introduction
Morning
Afternoon
Session II: Machine Learning Continued, Bringing It All Together
Morning
Afternoon
Takeaways
In this workshop you'll learn:
If you can't make it to a class/workshop, please email us at [email protected] at least 7 days before the scheduled event date. No refunds will be given after this timeframe.
In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.
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At General Assembly you get the tech skills, career advice and networking opportunities needed to be job ready for a career in coding or data or ux design, in as little as three months, with little or no previous experience.
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General Assembly
Online
Online Class
Seattle, Washington Online
Online Class
Seattle, Washington
Registered participants will be notified 24 hours in advance of this program with information on how to log in to the Zoom Meeting Room and other tools you’ll need for the session. Registration for this offering will close 2 hours prior to the session start in order to allow all students ample opportunity to have the technology enabled.
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