Summary of MSG332 INTRODUCTION TO MACHINE LEARNING

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MSG332 INTRODUCTION TO MACHINE LEARNING

Lecturer: DR. ONG WEN ENG

Skill Level: Beginner

General

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MSG332 212 Teaching Plan

4 April - 10 April

Course Introduction

Python Introduction

Chapter 1

01 Jupyter Notebook

YouTube: Computer Scientist Explains Machine Learning in 5 Levels of Difficulty

Chap 1 Slide 37 Supervised or Unsupervised ?

Hands_on 01

Week 1 Recordings

11 April - 17 April

Exercise 1

Chapter 2

02 Google Colab

Hands_on 02

Exercise 2

Week 2 Recordings

18 April - 24 April

Chapter 3

Hands on 03

IMDB-Movie-Data

Week 3 Recordings

25 April - 1 May

Exercise 3

Chapter 4

Assignment 1

Hands on 04

sol 032 Feature Engineering Practice.ipynb

Week 4 Recordings

2 May - 8 May

Chapter 5 Part A

Week 5 Recordings

9 May - 15 May

Hands on 05

Assignment 1 Submission

Exercise 4

Hands on 06

Week 6 Recordings

16 May - 22 May

Chapter 5 Part B

071 Decision Tree and Random Forest

Week 7 Recordings

30 May - 5 June

091 kNN

Exercise 5a

Exercise 5b

Week 9 Recordings

MSG332 Assignment 2

6 June - 12 June

Chapter 6 - Unsupervised Learning

Hands on 10

Week 10 Recordings

13 June - 19 June

Assignment 2 Submission

Exercise 6

Chapter 7 Neural Network

Week 11 Recordings

20 June - 26 June

Project Grouping

Team Project

Exercise 7

Hands on 12

Week 12 Recordings

27 June - 3 July

Chapter 8 ConvNets

Week 13 Recordings

4 July - 10 July

Exercise 8

14 Convolutional Neural Network

Week 14 Recordings

11 July - 17 July

Team Project Submission (due 12 July Tuesday 10am)

Project: Rubrics B (Marks for your group member)

Week 15 Recordings

18 July - 24 July

Coursework Mark Details and Grade

25 July - 31 July