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Course Details
Course Details
What You'll Learn
Topic 1 Overview of Machine Learning
Introduction to Machine Learning
Pattern Recognition Problems Suitable for Machine Learning
Supervised vs Unsupervised Learnings
Types of Machine Learning
Machine Learning Techniques
R Packages for Machine Learning
Topic 2 Regression
What is Regression
Applications of Regression
Least Square Error Minimization
Data Pre-processing
Bias vs Variance Trade-off
Regression Methods with Regularization
Topic 3 Classification
What is Classification
Applications of Classification
Classification Algorithms
Confusion Matrix
Classification Performance Evaluation
Topic 4 Clustering
What is Clustering
Applications of Clustering
Distance Measure
Clustering Algorithms
Clustering Performance Evaluation
Anomaly Detection Problem
Topic 5 Principal Component Analysis
Principal Component Analysis (PCA) and Dimension Reduction
Applications of PCA
PCA Workflow
Topic 6 Neural Network
What is Neural Network
Activation Functions
Deep Learning vs Machine Learning
Classification Using Neural Network
Topic 7 Ensemble Methods
Random Forest Ensemble
Gradient Boost and XGBoost Ensemble
Stacking Ensemble
Topic 8 Hyperparameter Tuning
Exhaustive Grid
Random Search
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:
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Data Scientists
- Data Analysts
- Marketeers
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
Review
Customer Reviews (7)
- Worth every cent Review by Course Participant/Trainee
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The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 8/24/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Learned a lot Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 8/16/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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