1: Introduction to predicting continuous targets

List three modeling objectives • List two business questions that involve predicting continuous targets • Explain the concept of field measurement level and its implications for selecting a modeling technique • List three types of models to predict continuous targets • Determine the classification model to use

2: Building decision trees interactively

Explain how CHAID grows a tree • Explain how C&R Tree grows a tree • Build CHAID and C&R Tree models interactively • Evaluate models for continuous targets • Use the model nugget to score records

3: Building your tree directly

Explain the difference between CHAID and Exhaustive CHAID • Explain boosting and bagging • Identify how C&R Tree prunes decision trees • List two differences between CHAID and C&R Tree

4: Using traditional statistical models

Explain key concepts for Linear • Customize options in the Linear node • Explain key concepts for Cox • Customize options in the Cox node

Using machine learning models

Explain key concepts for Neural Net • Customize one option in the Neural Net node

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