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Lesson 17 Decision Trees
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Decision Trees for classification and regression problems.
-Visualizing Decision Trees
-How classification and regression decision trees are grown
-Plotting decision boundaries
-Cross Validation
-Assessing model variability
-Bias-variance trade-off as a function of the depth of the tree
-Visualizing Decision Trees
-How classification and regression decision trees are grown
-Plotting decision boundaries
-Cross Validation
-Assessing model variability
-Bias-variance trade-off as a function of the depth of the tree