This workshop will be offered on-line over Zoom. All registered participants will recieve a Zoom link after registrations close, typically 24 hours prior to the start of the workshop. 

NOTE: Please register for this workshop using your UC or other university email address, if you have one.  

Overview

This workshop will provide a review of basic machine learning concepts, and will introduce Python and scikit-learn tools for machine learning. 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 the CLE.

Prerequisites

Familiarity with Python.

Instructors

Geoffrey Boushey with the UCSF Library Data Science Initiative

Digital Humanities Sequence

This sequence is designed for people with no prior programming experience. The workshops start with core python and sql before moving into more advanced or specialized topics in digital humanities, with an emphasis on text analysis and machine learning. 

You are welcome to take any of these workshops without attending the entire series. No formal pre-reqs are enforced, but if you are new to Python or SQL, you’ll get the core programming skills necessary for the later workshops by attending Intro to Python Part 1 and Part 2 along with Intro to SQL. 

Registration Links: 

• Intro to Python Part 1:
  • https://calendars.library.ucsf.edu/event/11946795
• Intro to Python Part 2:
  • https://calendars.library.ucsf.edu/event/11946839
• Intro to SQL:
  • https://calendars.library.ucsf.edu/event/11946900
• Data Analysis with Python, Pandas, and SQL:
  • https://calendars.library.ucsf.edu/event/11947263
• Intro to Unix:
  • https://calendars.library.ucsf.edu/event/11947161
• Reading Data from APIs with Python, Pandas, and SQL:
  • https://calendars.library.ucsf.edu/event/11947321
• Machine Learning with Python and Scikit-Learn:
  • https://calendars.library.ucsf.edu/event/11947452
• Python Background for Text Analysis and Natural Language Processing:
  • https://calendars.library.ucsf.edu/event/11947471
• Machine Learning for Document Classification and Sentiment Analysis:
  • https://calendars.library.ucsf.edu/event/11947489
• Google Cloud Tools, BiqQuery, and VertexAI:
  • https://calendars.library.ucsf.edu/event/11947492