
Predictive Analytics with Orange
Venue
Entrance Fee
Category
Event Type
Share
Schedule
Date | Time |
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16/08/2025 | 9:30 AM - 5:30 PM |
27/08/2025 | 9:30 AM - 5:30 PM |

Discover the realm of predictive analytics with our Predictive Analytics with Orange training at Tertiary Courses. Orange, renowned for its user-friendly interface and comprehensive modules, has emerged as a leading tool in the analytics community. This course ensures participants unravel the extensive capabilities of Orange, enabling them to anticipate trends, patterns, and behaviors from their data.
Begin with a comprehensive overview of Orange and its landscape. Trainees will delve deep into classification, predictive modeling, and regression analysis techniques that power data-driven decisions. Progressing further, participants will explore advanced modules like clustering and image analytics, ultimately culminating in the powerful realm of dimension reduction. Join us and supercharge your predictive analytics skills, turning data insights into actionable strategies.
Certificate
All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.
Funding and Grant
HRD Corp Claimable Course for Employers Registered with HRD Corp
Course Code: M547
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