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.

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 Fundamental 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.

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

Questions? Email: dlab-frontdesk@berkeley.edu