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-1920Github
https://github.com/ekochmar/cl-datasci-pnp