Department of Computer Science and Technology

Course pages 2019–20

Data Science: principles and practice

Slides and any accompanying handouts will be uploaded as the course proceeds.

Lecture Slides

Lecture 1 - Introduction
Lecture 2 - Linear Regression
Lecture 3 - Classification
Lecture 4 - Ensemble Learning

Auditing students and students attending this course not for credit are welcome to come to the lectures as well as practical sessions, however the practical work won't be assessed.

Azure Notebooks

https://notebooks.azure.com/ek358/projects/data-science-pnp-1920

Github

https://github.com/ekochmar/cl-datasci-pnp