Python + Machine Learning 2-Day Intensive Course | Online

5
Attend the next event on Saturday, 5 February.

About this workshop series

The Python + Machine Learning 2-Day Intensive Course covers the curriculum of our Python 1-Day Fundamentals Course and incorporates a second day of applied machine learning content. This is a beginner/intermediate course - it’s recommended that you have some familiarity with the core Python programming language.


Machine Learning is perhaps the most powerful force in technology, and Python is the most popular language for doing it. 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 learn best practices for using the most popular machine learning techniques in a variety of domains. We’ll cover Python’s major data science libraries (Numpy, Pandas, and SciKit Learn), and builds to advance your skills and understanding.

This 12-hour SQL 2-Day Intensive Course is the interactive and hands-on way to get started on understanding, building, and interpreting machine learning models using the Python ecosystem. You will dive head first into Python, skill up with exercises, and by the end of the day you'll know how to implement state-of-the-art machine learning techniques on your own data.

Takeaways

  • 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.

Prereqs & Preparation

  • This workshop is for beginners. No prior knowledge or experience required.
  • Install Anaconda prior to class.
  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection.
  • 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.
  • NOTE: Some domains block our automated emails, so If you don’t receive sign-in instructions within 1 hour of the livestream, please reach out to help@generalassemb.ly and we’ll send sign-in instructions right away!
  • 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 shared materials (worksheets, deck if applicable) during class for later reference, as they are not shared via email.

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