Data Science: Machine Learning with Python
Key Information
Tutors: Dr John Pinney
Course Level: Level 1
Course 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
| Date | Time | Platform/Venue |
|---|---|---|
| Thursday 12 May 2022 (Part 1) Thursday 19 May 2022 (Part 2) & Thursday 26 May 2022 (Part 3) |
15:00-17:00 15:00-17:00 15:00-17:00 |
South Kensington (Face-to-Face) |
| Thursday 09 June 2022 (Part 1) Thursday 16 June 2022 (Part 2) & Thursday 30 June 2022 (Part 3) |
10:00-12:00 10:00-12:00 10:00-12:00 |
Microsoft Teams |
Please select a date and book on via Inkpath using your Imperial Single-Sign-On.