Python Introduction to Machine Learning: Parts 1-2

February 23, 2022, 10:00am to February 28, 2022, 1:00pm

Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), UCSF, or CZ Biohub, please register via our partner portals here.

If you are from the UCB campus there's no more waitlist! But after registering above, please do fill out the affiliations form if you have not done so at least once before:

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

Date & Time: This workshop is a 2-part series running from 10am-1pm each day:

  • Part 1: Wednesday, February 23
  • Part 2: Monday, February 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

Questions? Email: