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Duration: 3 Days
Level 2
Course Overview:
A 3-day course that provides a further insight into the modelling techniques available in KnowledgeSTUDIO® 5.2 besides decision trees that can be used to build Predictive Models in a variety of application areas. This course includes the Level 1 Course (Introduction to Decision Trees using KnowledgeSEEKER® 5.2)
Course Outline:
- Level 1 Course-
Introduction to Decision Trees using KnowledgeSEEKER® 5.2
- Review of Data Mining Best Practices
- Predictive Modeling:
Logistic Regression, Linear Regression, Neural Networks
- Model Evaluation:
Model Validation, Using the Model Analyzer: Lift Curve, Cumulative Lift, K-S Statistic, Profit Curve
- Un-supervised Modeling:
Clustering: Building Cluster Models, Using the Segment Viewer for Cluster Profiling, Scoring
- Deployment and Scoring:
Code generation and Scoring
Course Outcome:
Upon completion of this course, you will be able to:
- Source relevant data from databases
- Get a thorough understanding of the modeling process and mathematical algorithms
- Build and validate decision trees, regression, neural networks models
- Segment data using cluster analysis and principal component analysis
- Integrate models into you business process by reporting or scoring
- Receive a certificate of completion
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