Machine Learning and AI Foundations: Decision Trees Welcome
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Machine Learning and AI Foundations: Decision Trees What should you know
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Machine Learning and AI Foundations: Decision Trees Using the exercise file
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Decision Tree Options in SPSS Modeler
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Building a quick CHAID model
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Adding a second model with C&RT
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Analysis nodes
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Lift and gains chart
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Bonferonni adjustment
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What is an algorithm?
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Chi-squared overview
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Buliding a tree interactively
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What is level of measurement?
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How CHAID handles Nominal Variables
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How CHAID handles ordinal variables
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How CHAID handles continuous variables
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A quick look at the complete CHAID tree
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What is the Gini coefficient?
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How does C&RT weigh purity and balance?
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How C&RT handles nominal, ordinal, and continuous variables
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How C&RT handles missing data
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Understanding pruning
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A quick look at the complete C&RT tree
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Stopping rules in CHAID and C&RT
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Exhaustive CHAID
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The Auto Classifier tuning trick
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Machine Learning and AI Foundations: Decision Trees Next step
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