2-Day Python and Machine Learning Bootcamp Series
31

March 31 – April 1
2 Sessions

GA Washington D.C. (Livestream)

Online Class
Livestream
$375 USD
Regular Ticket
$375 USD
Total

Questions? Read our FAQs

2-Day Python and Machine Learning Bootcamp Series | March 31

Craig Sakuma Photo


Founder, QuantSprout

31

March 31 – April 1
2 Sessions

GA Washington D.C. (Livestream)

Online Class
Livestream
$375 USD
Regular Ticket
$375 USD
Total

Questions? Read our FAQs

About This Workshop Series

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.

General Assembly’s classes, workshops & events are for recreational purposes and are not regulated by the bureau of proprietary school supervision.

If this class is recorded, students will be sent the recording link within 7 days after class completion by email. Students are encouraged to download and save any shared materials (worksheets, deck if applicable) during class for later reference as they are not be shared by email.

Schedule

Mar 31
Wednesday, 31 March 11 am – 6 pm EDT Session I: Python-for-Data Basics, Machine Learning Introduction

Morning

  • Introduction to Numpy and Pandas.
  • Popular methods for handling and prepping your data.

Afternoon

  • Introduction to Machine Learning.
  • Regression.

Apr 1
Thursday, 1 April 11 am – 6 pm EDT Session II: Machine Learning Continued, Bringing It All Together

Morning

    • Cross Validation.
    • Regularization.

    Afternoon

      • Classification.
      • Putting it all together.

Takeaways

In this workshop you'll learn :

  • How to use Numpy and Pandas to import and organize your data.
  • The different types of machine learning problems, and when to use different methods.
  • Best practices for prepping your data to make it Machine Learning ready.
  • Regression Algorithms, and how to use them to predict continuous data.
  • Classification algorithms, and how to use them to predict binary outcomes.
  • Relative strengths and weaknesses of different Machine learning techniques.
  • Best practices to make sure your models can handle data they haven’t seen before.
  • Advice on future learning paths depending on your desired career goals.
  • Visualize the results of your analysis.

Preparation

  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection. Also with 5GB free space to install recommended tools:
    • Please have a copy of Anaconda installed on your computer, which can be downloaded here: (www.anaconda.com/distribution).
    • Familiarity with the core Python programming language, either with the Introduction to Python Bootcamp or similar experience. The Python For Data Bootcamp is recommended for maximum benefit, but not required.
    • This class will occur completely online using Zoom.
    • Class setup information will be emailed to all students signed up around 24 hours before (and again an hour before) your class launches.
    • Each individual class participant must have purchased a ticket.

About the Instructor

Craig Sakuma Photo

Founder,
QuantSprout

Craig has been a data science and analytics instructor at General Assembly since 2014 and he has over 2,000 hours of teaching experience. Prior to teaching at General Assembly, he worked as a data scientist at Euclid Analytics. Craig has also founded an e-commerce furniture business, Deal Decor, and worked as a consultant at the Boston Consulting Group. He has an engineering degree from Northwestern and an MBA from Wharton. For fun, Craig enjoys traveling and has spent a total of 5 years living overseas in three different countries.

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

Community Code of Conduct

Your registration for or attendance at any General Assembly offering indicates your agreement to abide by this Community Code of Conduct policy and its terms.

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