Schedule

DRPS Timetable

Week 1

Introduction to ML: Playlist • Slides • Handout

Introduction to Classification: Playlist • Slides • Handout

22 Sep

Q&A Session (16:10 @ AT - Lecture Theatre 5): Slides

Week 2

29 Sep

Q&A Session (16:10 @ AT - Lecture Theatre 5): Cancelled due to strikes

Lab 0 Introduction to Python and ML: Notebook • Solution

Week 3

06 Oct

Q&A Session (16:10 @ AT - Lecture Theatre 5): Cancelled due to strikes

Lab 1 Classification, Naive Bayes, and Logistic Regression: Notebook • Solution

Week 4

13 Oct

Q&A Session (16:10 @ AT - Lecture Theatre 5): Cancelled due to strikes

Tutorial 1 Classification and Naive Bayes: Problem Sheet • Solution

Week 5

20 Oct

Q&A Session (16:10 @ AT - Lecture Theatre 5): Cancelled due to strikes

Lab 2 Exploratory Data Analysis, Visualisation, and PCA: Notebook • Solution

Week 6

27 Oct

Q&A Session (16:10 @ AT - Lecture Theatre 5): Cancelled due to strikes

Tutorial 2 Optimization and Logistic Regression: Problem Sheet • Solution

Week 7

Naive Bayes Classification: Playlist • Slides • Handout

Logistic Regression: Playlist • Slides • Handout

03 Nov

Q&A Session (16:10 @ AT - Lecture Theatre 5): Slides

Lab 3 Evaluation: Notebook • Solution

04 Nov

CW 1 Progress report due Wed 04 Nov, 5pm

06 Nov

CW 1 Progress feedback Fri 06 Nov, 2-5pm AT 5.04

Week 8

Linear Regression: Playlist • Slides • Handout

Decision Trees: Playlist • Slides • Handout

10 Nov

Q&A Session (16:10 @ AT - Lecture Theatre 5)

Tutorial 3 Model Selection: Problem Sheet

Week 9

Representing Data: Playlist • Slides • Handout

Exploratory Data Analysis: Playlist • Slides • Handout

17 Nov

Q&A Session (16:10 @ AT - Lecture Theatre 5)

Lab 4 Neural Networks: Notebook

Week 10

Optimisation: Playlist • Slides • Handout

Generalisation: Playlist • Slides • Handout

24 Nov

Q&A Session (16:10 @ AT - Lecture Theatre 5)

26 Nov

CW 1 Due

Tutorial 4 Ethics and Fairness: Problem Sheet