DATA SCIENCE WITH ORANGE GUI

ORAGNE

Introduction

• Introduction
• Data Workflows
• Widgets and Channels
• Add-ons

Pre-processing

• Loading Your Data
• Preprocessing

Features

• Feature Scoring and Ranking 1 2
• Principal Component Analysis 1 2

Data Visualization

• Sctter Plot
• Box Plot
• Interactive Visualizations
• Silhouette Plotting 1 2

Data Transformation

• Pivot Table

Clustering

• K-Means 1 2 3
• Hierarchical Clustering 1 2
• Cluster Inspection

Data Modelling

• Predictive Models 1 2

Classification

• Classification Tree
• Logistic Regression
• SVM
• Cross-validation
• Misclassification

Model Evaluation

• Model Evaluation and Scoring
• Confusion Matrix

Image Analytics

• Clustering
• Classification
• Clustering of Monet and Manet
• Finding the Lost Monet

Text Preprocessing

• Text Preprocessing
• Clustering
• Classification
• How to Import Text Documents

Highlights of the course

• Online, Classroom and On-Premise
• No prior programming experience required
• Suitable for professionals who have domain experience or starters who don’t want to be programmers

Course Duration

• Normal: One Month (online and classroom)
• Accelerated: One Week (online and classroom)
• On Premise: 3-5 days