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Course Details
Course Details
What You'll Learn
Topic 1 Overview of Predictive Analytics and Orange
Data Mining Process
Introduction to Machine Learning
Supervised vs UnSupervised Learnings
Overview of Orange
Topic 2: Data Preparation
Load Data to Orange
Interactive Visualization
Filter Data
Merge and Concat Data
Preprocess Data
Feature Statistics
Save Data
Topic 3: Regression
What is Regression
Linear Regression
Model Evaluation Metrics for Regression
Regularization
Topic 4: Classification
What is Classification
Classification Algorithms
K-Fold Cross Validation
Model Evaluation Metrics for Classification
Confusion Matrix
ROC Analysis for Binary Classification
Topic 5: Clustering
What is Clustering
K-Means Clustering
Silhouette Analysis
Hierarchical Clustering
Topic 6: Dimension Reduction
What is Dimension Reduction
Principal Component Analysis (PCA)
Feature Ranking
t-SNE and MDS
Topic 7: Association Analysis
What is Association Analysis
Apriori Algorithm
Association Analysis with Orange
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: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Job Roles
Job Roles
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Research Scientist
- Quantitative Researcher
- Bioinformatics Scientist
- Data Mining Specialist
- Customer Insights Analyst
- Marketing Analytics Specialist
- Predictive Analytics Specialist
- Healthcare Data Analyst
- Financial Modeler
- E-commerce Data Specialist
- User Behavior Analyst
Trainers
Trainers
Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.
