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
Credit transfer
Have you taken this course or an equivalent course?
Contact the Credit Transfer Office.
Delivery Options
Classroom Delivery: In-person instruction that takes place at a college campus.
Online Delivery: Content is delivered entirely online through self-directed components, allowing you the flexibility to learn anytime from wherever you are.
Remote Delivery: Technology-enabled virtual instruction that takes place outside of a physical classroom. Remote delivery includes some form of scheduled real-time virtual classes or drop-in times, as well as self-directed components.
Hybrid Delivery: Instruction that includes a combination of online or remote delivery, and some classroom activities.
Registration dates
Not all courses are offered each term.
Winter 2022 registration opens November 1, 2021. Spring 2022 registration opens February 7, 2022.