University of St Andrews - Online

Course in Introduction: End-to-End Machine Learning

Gain foundational knowledge in machine learning, covering essential concepts and tools for building predictive models.

Machine learning workflows are key to effective data science. This short course is focused on using Python packages to perform end-to-end data-driven analyses.

You will study four topics in this course. In three of those topics, you will be engaging with worked examples of machine learning with a range of difficulty and scope. Advanced Python code is supplied and explained for the most advanced worked example.

The remaining topic will introduce you to the terms, concepts and performance metrics used in modern data science projects.

The primary learning outcome for the course is the ability to manipulate data, fit models, summarise and display their results and performance, and objectively compare models before deployment.