dm24s1

We continue our introduction to regression, considering how to make it more robust.

Overview
This week we will study linear regression, which is one of the classic techniques
- Regression as a means of minimising sum of the squared errors
- Regression assumptions - what they mean, how they can be used for validation and model building
- Case studies from Advertising and Credit Balance prediction
- Handout
- Presentation
Practical
Practical session - using Python notebooks to work on 2 data sets that were the subject of the Topic 8 class on more advanced Regression aspects.
- Open
Resources
Additional regression resources.
- Open