Key Information
Tutors: Dr John Pinney
Course Level: Level 1Course Credit: 1 credit
Prerequisites:
- Introduction to Python (or equivalent prior learning)
- Introduction to Machine Learning (or equivalent prior learning)
Duration: 3 x 2 hour sessions
Format: Live online or live face to face with hands-on practice.e
Course Resources
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.
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
Dates & Booking Information
- Tuesday 26 November 2024 (Part 1), Tuesday 03 December 2024 (Part 2) & Tuesday 10 December 2024 (Part 3), 14:00-16:00, Microsoft Teams
- Wednesday 05 February 2025 (Part 1), Wednesday 12 February 2025 (Part 2) & Wednesday 19 February 2025 (Part 3), 10:00-12:00, Microsoft Teams
- Thursday 22 May 2025 (Part 1), Thursday 29 May 2025 (Part 2) & Thursday 05 June 2025, 14:00-16:00, Microsoft Teams
To book your place, please follow the booking process advertised on the main programme page