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Course Details
Course Details
What You'll Learn
Topic 1 - Introduction to Machine Learning
What is Machine Learning
Machine Learning in Real life
Types of Machine Learning
Key ML Models
Installing Weka
Load Dataset to Weka
Build Your First Classifier
Topic 2 - Classification
What is Classification?
K-Nearest Neighbours (KNN)
Support Vector Machine (SVM)
Naive Bayes
Decision Tree (DT)
Topic 3 - Regression
What is Regression?
Linear Regression
Support Vector Regression
K-Nearest Neighbour Regression
Topic 4 - Ensemble Methods
What is Ensemble Methods?
Bagging
Random Forest
Stacking
Topic 5 - Clustering
What is Clustering?
K-Means Clustering
Hierarchical Clustering
Topic 6 - Neural Network
What is Neural Network?
Multilayer Perceptron Classifier
Topic 7 - Problem Solving through Machine Learning
Problem Definition
Data Conceptualization
Data Gathering
Feature Engineering
Algorithm Spot Check
Fine Tuning Model
Pitfalls
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Research Scientist
- Business Intelligence Specialist
- Data Engineer
- Software Developer (interested in ML)
- Statistician
- Predictive Modeler
- AI Solutions Architect
- Quantitative Researcher
- Data Visualization Specialist
- Analytics Consultant
- Product Manager (focused on AI/ML products)
- Innovation Specialist
Trainers
Trainers
is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies
