Python Machine Learning Fundamentals: Parts 1-2

October 4, 2022, 2:00pm to October 6, 2022, 5:00pm

To receive a Zoom link after registering above, please fill out the affiliations form if you have not done so at least once before: https://dlab.berkeley.edu/affiliations

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

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.

Date & Time: This workshop is a 2-part series running from 2pm-5pm each day:

  • Part 1: Tuesday, October 4
  • Part 2: Thursday, October 6

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

Questions? Email: dlab-frontdesk@berkeley.edu