2-Day Python and Machine Learning Bootcamp 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.

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.

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.

• 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 course will occur completely online using Zoom and Slack.
• Course set up information will be emailed to all students signed up around 24 hours before (and again an hour before) your course launches.