Data Science: principles and practice
Lecture Slides
Lecture 1 - Introduction
Lecture 2 - Linear Regression
Lecture 3 - Classification I
Lecture 4 - Classification II
Lecture 5 - Deep Learning Basics
Lecture 6 - Deep Learning with TensorFlow
Lecture 7 - Deep Learning Architectures
Lecture 8 - Visualization I
Lecture 9 - Visualization II
Lecture 10 - Challenges in Data Science
Questions and Answers for Practicals (kindly submitted by Michelle Lee)
Practical 1
Practical 2
Practical 3
Practical 4
Practical 5
Practical 6
Practicals and code snippets
See assessment page