Python Introduction to Machine Learning: Parts 1-2

October 21, 2021, 1:00pm to October 28, 2021, 4:00pm

Location: Remote via Zoom. Link will be sent on the morning of the event.

This workshop is a 2-part series running from 1pm-4pm each day:

  • Part 1: Thursday, October 21
  • Part 2: Thursday, October 28

Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.


This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided. 

Prerequisites: D-Lab’s Python Fundamental introductory series or equivalent knowledge.

Workshop materials:

Software Requirements:Installation Instructions for Python Anaconda

Is Python Not working on your laptop?
Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation.

Feedback: After completing the workshop, please provide us feedback using this form

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