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Python and Machine Learning Bootcamp Series

  • All levels
  • 18 and older
  • $375
  • Online Class
    , New York, NY
  • 14 hours over 2 sessions

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  • $375
  • GA NYC (Remote Online) @ Online Class
    Livestream, New York, NY 00000
  • 14 hours over 2 sessions

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Class Description

Description

What you'll learn in this python class:

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.

10 am – 5 pm 
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.
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.
School Notes:
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.

Refund Policy

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.

Reviews of Classes at General Assembly (2,637)

(4.3-star rating across 2,637 reviews)
  • Python and Machine Learning Bootcamp Series

    Reviewed by Sara J. on 2/24/2020
    Jonathan was great. He is a patient and caring teacher. He really knows the material and it shows. The class got me back on track and I feel ready to move forward with my goals.
  • Python and Machine Learning Bootcamp Series

    Anonymous review on 12/23/2018
    The first day you'll go over Python's basics and a little bit of Pandas. The second day you'll see Data Science and Machine Learning. Instructor is knowledgeable and patient.
  • Python and Machine Learning Bootcamp Series

    Anonymous review on 1/27/2020
  • Python and Machine Learning Bootcamp Series

    Reviewed by Wendy C. on 2/18/2019
  • Python and Machine Learning Bootcamp Series

    Anonymous review on 5/21/2018
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