Detailed Course Outline
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 5: Using machine learning models • Explain key concepts for Neural Net • Customize one option in the Neural Net node