Summary of ABW505D DATA PROGRAMMING AND PREDICTIVE ANALYTICS FOR BUSINESS

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ABW505D DATA PROGRAMMING AND PREDICTIVE ANALYTICS FOR BUSINESS

Lecturer: TS. DR. KHAW KHAI WAH

Skill Level: Beginner

General

Announcements

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Introduce yourself

Course Outline

CW Grade (70%)

Attendance

Individual Assignment (20%)

Individual Assignment (20%)

Group Projects (30%)

Group Project 1 (10%)

Group Project 2 (20%)

Mid-Term Test

Mid Term Test - Answer

Midterm Test - Mark (Latest)

Introduction

Lesson 1 - Slide

Lesson 1 - Recorded Video

Core Objects, Variables, Input and Output

Lesson 2 - Slide

Lesson 2 - Recorded Video

Lesson 2 - Hands On Video

Lab Activity 1

Lab Activity 1 - Answer

Introduction to Machine Learning

Lesson 3 - Slide

Lesson 3 - Recorded Video Part 1

Lesson 3 - Recorded Video Part 2

Structures that Control Flow

Lesson 4 - Slide

Lesson 4 - Recorded Video

Lesson 4 - Hands On Video

Lesson 5 - Slide

Lesson 5 - Recorded Video

Lab Activity 2

Lab Activity 2 - Answer

Functions

Lesson 6 - Slide

Lesson 6 - Recorded Video Part 1

Lesson 6 - Recorded Video Part 2

Lesson 6 - Recorded Video Part 3

Lesson 7 - Slide

Lesson 7 - Recorded Video Part 1

Lesson 7 - Recorded Video Part 2

Lesson 7 - Recorded Video Part 3

Lists and Tuples

Lesson 8 - Slide

Lesson 8 - Recorded Video

Lesson 8 - Hands-On Video

Lab Activity 3

K-Nearest Neighbors

Lesson 9 - Slide

Lesson 9 - Recorded Video

Lesson 9 - Hands On Video

Sample Code

dataset

real dataset

Naive Bayes and Support Vector Machine

Lesson 10 - Slide

Lesson 10 - Recorded Video

Lab Activity 4

Lab Activity 4 - Dataset

Ensemble Method and Random Forest

Lesson 11 - Slide Part 1

Lesson 11 - Slide Part 2

Lesson 11 - Recorded Video Part 1

Lesson 11 - Recorded Video Part 2

Clustering

Lesson 12 - Slide

Lesson 12 - Recorded Video Part 1

Lesson 12 - Recorded Video Part 2

Lesson 12 - Recorded Video Part 3

Numpy, Pandas and Matplotlib

Lesson 13 - Slide Part 1

Lesson 13 - Slide Part 2

Lesson 13 - Slide Part 3

Lesson 13 - Recorded Video

Lab Activity 5

Lab Activity 6

Decision Trees