Course description
Students are introduced to various machine learning concepts and techniques. Through the application of python libraries, students learn to create and evaluate supervised and unsupervised machine learning models. Students also implement predictive models for diverse data types including natural language.
Course details
Hours:
42
Credits:
3
Prerequisites:
None
Corequisites:
None
Credit transfer
Have you taken this course or an equivalent course?
Contact the Credit Transfer Office.
Registration dates
Not all courses are offered each term.
Spring 2021 registration opens February 1, 2021. Fall 2021 registration opens July 5, 2021.