The Lab Session and the assignment use the same notebook.
During the Lab Session, read through the notebook and complete the questions.
Please download the notebook and complete the exercises.
Before the deadline, upload to MOLE the Notebook with the solutions to the exercises.
Name your .ipynb file as NAME_REGCOD.ipynb, where NAME is your full name, and REGCOD is your registration code.
- Being able to code python functions associated with a linear model that work for different types of basis functions.
- Being able to code in python different validation methods to evaluate the generalisation ability of a machine learning model.
The number of marks for each exercise is specified in the notebook.
We follow Department's guidelines about late submissions. Please, see this link for COM4509 and this link for COM6509.
"Any form of unfair means is treated as a serious academic offence and action may be taken under the Discipline Regulations." (taken from the Handbook for Undergraduate and MSc Students). If you are unaware what constitutes Unfair Means, please cafefully read the following link for COM4509 and this link for COM6509.