Data Analytics and Machine Learning (6cr)

Learning outcomes

Student is able to:
- Apply and understand various stages within the realm of machine learning.
- Recognize and locate crucial data points.
- Employ imputation techniques for data replacement and establish appropriate metrics.
- Identify and employ supervised and unsupervised algorithms suitable for health data analysis.
- Evaluate and interpret the performance of the various machine-learning algorithms on health data.
- Implement a machine learning pipeline in an ML toolkit.

Evaluation scale

H-5