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: Wednesday, March 22, 7-9pm
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 2-hour Python Machine Learning Workshop by the Discovery Consultants will cover the following topics: Overview of Machine learning, Methods of Linear Regression, Logistic Regression (Classification), and Data Preprocessing. The workshop will consist of a live coding demo with a live question-answer session.
Prerequisites: D-Lab’s Python Fundamentals introductory series or equivalent knowledge.
Workshop materials: https://github.com/dlab-berkeley/Python-Machine-Learning-DS-Discovery/
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