This course is part of the UBC Key Capabilities in Data Science Certificate Program.
This introductory course on supervised machine learning for prediction focuses on regression and classification models. Understand how to map data to the correct model type, evaluate and select models, as well as communicate and interpret model results.
What you will learn:
- How to create predictive models and communicate results to help organizations reduce operating costs, optimize market strategies and identify trends
- How to choose a correct predictive modelling technique (g., regression or classification) given the available data for the data science problem being considered
- Fundamental machine learning concepts such as generalization errors and overfitting
- How to optimize supervised learning models with feature and model engineering that will contribute to more accurate predictions
The format of this course is 100% online.
Course Virtual Office Hours (subject to change)
Wednesdays, 6:30-7:30pm Pacific Time
Saturdays, 10:15-11:15am Pacific Time
If you are not in the Pacific Time zone (Vancouver, BC), you may use this time zone converter to check the time difference.