Wed, Mar 31, 8:00am - Apr 01, 3:00pm Pacific Time (2 sessions)
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Give as a Gift Book as Private EventMachine 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.
Limited space available!
The well-being of our employees, students, clients, instructors, and guests is our number one priority here at General Assembly. We are monitoring the COVID-19 situation very carefully and are adjusting delivery of our programs.
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
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General Assembly
Online
Online Class Livestream
San Francisco, California Online
Online Class Livestream
San Francisco, California
Start Date | Time | Teacher | # Sessions | Price |
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8:00am - 3:00pm Pacific Time | Craig Sakuma | 2 | $375 |
This course consists of multiple sessions, view schedule for sessions.
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Thu, Apr 01 | 8:00am - 3:00pm Pacific Time | Craig Sakuma | ||
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8:00am - 3:00pm Pacific Time | Craig Sakuma | 2 | $375 |
This course consists of multiple sessions, view schedule for sessions.
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Fri, Apr 30 | 8:00am - 3:00pm Pacific Time | Craig Sakuma | ||
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8:00am - 3:00pm Pacific Time | Craig Sakuma | 2 | $375 |
This course consists of multiple sessions, view schedule for sessions.
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Sun, Jun 06 | 8:00am - 3:00pm Pacific Time | Craig Sakuma |
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