In this video, I try to explain what #DecisionTrees are and how they are used in #MachineLearning. We will learn the basics of decision trees with a real problem: Titanic and we will build our own decision tree. We will also learn how to use regression with decision trees. We will also look at terms like decision node, leaf, depth, gini, entropy, and squared loss. In the end, we will compare what we have built with a tree built using scikit-learn.
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