Machine Learning with Python

Following on from the Introduction to Machine Learning course, this series of hands-on workshops will get you started with applying supervised and unsupervised machine learning methods in Python, using the popular scikit-learn package.

This course is open to Research Degree Students, Postdocs & Research Fellows. Limited spaces available for wider Imperial community.

Learning Outcomes:

After completing this workshop, you will be better able to:

• Prepare a dataset for machine learning in Python
• Select a scikit-learn method appropriate for a particular learning task
• Construct your own workflows for model training and testing
• Evaluate the performance of a model

Prerequisites: 

• Introduction to Python for Researchers (Online Course) (or equivalent prior learning)
• Introduction to Machine Learning (or equivalent prior learning)

How to book

• Early Career Researchers (Research Degree Students, Postdocs, Research Fellows) should book via Inkpath using your Imperial Single-Sign-On.
• All other members of the Imperial community, should book here.

Please ensure you have read and understood ECRI’s cancellation policy before booking.