
Machine Learning 1 COMP 9721
Our Machine Learning 1 course provides a comprehensive introduction to the field of artificial intelligence (AI) and machine learning (ML). Learn the basics of Python (including data structures), and gain practical skills in implementing essential ML algorithms (including linear regression, logistic regression, clustering, and k-nearest neighbours algorithm). Through hands-on projects, develop the ability to apply ML techniques to real-world scenarios in various domains.
Recommendations
You will have the most success in this course if you already have basic computer and math skills, but previous programming skills are not required.
Hours and Fees
Hours
Fee
Upcoming Sections
9 Mar 2027 – 22 Apr 2027
Delivery Method:
Teacher-led Online
Teacher-led online classes use a learning management system (LMS) and videoconferencing software (which may require a camera and a microphone). A welcome letter with details about the LMS will be emailed to you.
26 Jun 2027 – 7 Aug 2027
Delivery Method:
Teacher-led Online
Teacher-led online classes use a learning management system (LMS) and videoconferencing software (which may require a camera and a microphone). A welcome letter with details about the LMS will be emailed to you.
Past Sections
26 Sep 2026 – 7 Nov 2026
Delivery Method:
Teacher-led Online
Teacher-led online classes use a learning management system (LMS) and videoconferencing software (which may require a camera and a microphone). A welcome letter with details about the LMS will be emailed to you.
3 Nov 2026 – 17 Dec 2026
Delivery Method:
Teacher-led Online
Teacher-led online classes use a learning management system (LMS) and videoconferencing software (which may require a camera and a microphone). A welcome letter with details about the LMS will be emailed to you.
- Contact Information
- Contact Department:
- Construction, Technology & Trades Department
- Email:
- cetechnology@georgebrown.ca
- Phone:
- 416-415-5000, ext. 4861
- Office Location(s):
- Casa Loma Campus, 160 Kendal Ave., Building C (CLC), Room C426
Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.


