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 1pm-4pm each day:
- Part 1: Tuesday, May 24
- Part 2: Thursday, May 26
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.
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-Fundamentals
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
Registration & Logistics
Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), UCSF, California Research Bureau (CRB), or CZ Biohub, please register via our partner portals here.
Recordings: This D-Lab workshop will be recorded. 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.
Questions? Email: dlab-frontdesk@berkeley.edu