Machine Learning with Python and Scikit-Learn

This workshop will provide a review of basic machine learning concepts, and will introduce Python and scikit-learn tools for machine learning. We will use the county and state COVID-19 datasets released by the NYTimes and the COVID-19 research dataset released by the Allen Institute. Empahsis will be on the programming work involved in preparing data, populating and building a ML model using scikit-learn libraries, and reading results. 

This workshop will take place online over UCSF Zoom. Registered participants will recieve an email through LibCal with connection information the day before the workshop.

Materials

Workshop materials are on GitHub and CLE.

Prerequisites

Familiarity with Python.

Instructors

Geoffrey Boushey and Karla Lindquist with the UCSF Library Data Science Initiative

Dial-In Information

You will receive an email from LibCal with a Zoom link prior to the start of the workshop. 

Friday, June 12 at 10:00am to 1:00pm

Virtual Event
Event Type

Class/Info Session

Audience

Students, Postdocs, Faculty, Staff

Location

Online

Tags

programming, Data Science Initiative, python, online, machine learning, Scikit-Learn

Website

https://calendars.library.ucsf.edu/ev...

Cost

Free

Department/Group
UCSF Library
Contact Info

geoffrey.boushey@ucsf.edu

Subscribe

You're not going yet!

This event requires registration.