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AAP484 MACHINE LEARNING FOR BUSINESS APPLICATIONS
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Coursework Grade (60%)
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Mid-Term Exam
Mid-Term Test - Question
Mid-Term Test - Answer
Mid-Term Test - Marks
Group Project (20%)
Group Project
Individual Assignment (20%)
Individual Assignment
Introduction to Machine Learning
Week 1 - Slide
Week 1 - Recording Video
Regression and Preprocessing: Feature Scaling
Week 2 - Slide
Week 2 - Recorded Video Part 1
Week 2 - Recorded Video Part 2
Week 2 - Recorded Video Part 3
Week 2 - Self-Check
K-Nearest Neighbours (KNN)
Week 3 - Slide
Week 3 - Recorded Video
dataset
dataset real
Introduction to Numpy
Week 4 -Slide
Week 4 - Recorded Video
Naive Bayes
Week 5 - Slide
Week 5 - Recorded Video
Working with Python: Build your First Machine Learning Model
Week 6 - Slide
Week 6 - Recorded Video
Support Vector Machines
Week 7 - Slide
Week 7 - Recorded Video
Clustering
Week 8 - Slide
Week 8 - Recorded Video Part 1
Week 8 - Recorded Video Part 2
Week 9 - Slide
Week 9 - Recorded Video
Introduction to Matplotlib
Week 10 - Slide
Week 10 - Recorded Video
Week 10 - Hands-on Video
List of Colors
Decision Tree
Week 11 - Decision Trees
Week 11 - Recorded Video
Ensemble Methods
Week 12 - Slide
Week 12 - Recorded Video
Introduction to Pandas
Week 13 - Slide
Week 13 - Recorded Video
Principal Component Analysis
Week 14 - Slide
Week 14 - Recorded Video
Tutorial
Lab Activity 1
Lab Activity 2
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AAP484 MACHINE LEARNING FOR BUSINESS APPLICATIONS
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APPLIED ARTS
SCHOOL OF MANAGEMENT
Semester II
AAP484 MACHINE LEARNING FOR BUSINESS APPLICATIONS
Summary
AAP484 MACHINE LEARNING FOR BUSINESS APPLICATIONS
Lecturer:
TS. DR. KHAW KHAI WAH
Skill Level
:
Beginner