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Decision Tree Introduction with example. The Complete Machine Learning Developer Course 2023 [Videos].

By admin / 18-jan-2022 / in Blog, Machine Learning / 139 Comments / 10 Likes / Share This Post

Decision tree algorithm falls under the category of supervised learning. They can be used to solve both regression and classification problems.

  • Decision tree uses the tree representation to solve the problem in which each leaf node corresponds to a class label and attributes are represented on the internal node of the tree.
  • We can represent any boolean function on discrete attributes using the decision tree.

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