Python Programming and Machine Learning 2

Learn inter­me­di­ate Python pro­gram­ming and how to pro­gram a machine learn­ing (ML) appli­ca­tion. The class will imple­ment a bina­ry Naïve Bayes clas­si­fi­er from scratch, over the course. Impor­tant ML con­cepts such as super­vised learn­ing, qual­i­ty train­ing data, cross val­i­da­tion, pre­ci­sion, recall, and a con­fu­sion matrix will be dis­cussed and imple­ment­ed in Python. Includes hands-on, in-class exer­cis­es, stu­dents must be pre­pared to (in class) write Python pro­grams, indi­vid­u­al­ly or in a group. Pre­req­ui­site: EXSC 2500
Course at a glance

Update (Oct 7) - The prerequisite is waived for this class, please call 780-492-3116 to register. If you have completed EXSC 2500, enrollment may be completed online.

Currently counts towards

We recommend that you apply to the program as soon as possible to lock in your course requirements as they are subject to change.

*If you are already enroled in this program, please refer to your specific program requirements as outlined at the time of your admission: Bear Tracks > Academic Advisement.

This is a skills-enhancing course in

You can register for and take a course without applying and enrolling into the program.

When will
this course be offered?

New course schedules are released each June and November.

Course not yet scheduled

This course is not currently scheduled, but may be offered in an upcoming term.

New course schedules are announced each June and November.


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