Python and Machine Learning Bootcamp Series
21

March 21 – March 22
2 Sessions

GA NYC (Manhattan), Classrooms (3rd Floor)

10 East 21st Street
New York, NY 10010
$499 USD
Regular Ticket
$499 USD
Total

Questions? Read our FAQs

Python and Machine Learning Bootcamp Series | March 21

Jonathan Bechtel Photo


Technical Lead, Health Kismet

21

March 21 – March 22
2 Sessions

GA NYC (Manhattan), Classrooms (3rd Floor)

10 East 21st Street
New York, NY 10010
$499 USD
Regular Ticket
$499 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.

Limited space available!

Schedule

Mar 21
Saturday, 21 March 10 am – 5 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.

Mar 22
Sunday, 22 March 10 am – 5 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 must bring a laptop 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.
  • Regulatory Information:

    General Assembly’s workshops are for recreational purposes and are not regulated by the Bureau of Proprietary School Supervision.

About the Instructor

Jonathan Bechtel Photo

Technical Lead,
Health Kismet

Jonathan Bechtel is the technical lead for Health Kismet, a nutraceutical sciences company that leverages the latest research in biological and computer sciences to deliver unique research and deliverable insights to make the Natural Products and Pharmaceutical industries work better. He models data in Python, does software development in Javascript, and can always be found with a good academic paper in his backpack. Just ask him!

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.

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