REGISTRATION NOTES
Click register and then use your @berkeley.edu or @lbl.gov email address.
If you have trouble, you may need to log out of Zoom and log back in.
For help, read more here: https://dlab.berkeley.edu/zoom-troubleshooting-tips
Location: Remote via Zoom.
Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.
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.
Date & Time: This workshop is a 2-part series running from 12pm-3pm each day:
- Part 1: Tue, April 8
- Part 2: Thu, April 10
Description
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 Fundamentals introductory series or equivalent knowledge.
Workshop Materials: https://github.com/dlab-berkeley/Python-Machine-Learning
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.
Questions? Email: dlab-frontdesk@berkeley.edu