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  1. Learn how to use decision tree, a supervised learning technique, for classification and regression problems. Understand the terminologies, attributes selection measures, pruning and advantages of decision tree with Python implementation.

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  2. Mar 24, 2023 · Learn what a decision tree is, how it works, and why it is used for classification and regression tasks. Explore the different types of decision trees, such as ID3, C4.5, and CART, and see examples of how to build and evaluate them.

  3. Mar 15, 2024 · A decision tree in machine learning is a versatile, interpretable algorithm used for predictive modelling. It structures decisions based on input data, making it suitable for both classification and regression tasks.

    • 32 min
  4. May 22, 2024 · Learn about decision trees, a type of machine learning algorithm for classification and regression tasks. Understand the components, working, and mathematical concepts of decision trees, and explore different types and implementations.

  5. May 17, 2024 · Learn what decision trees are, how they work, their advantages and disadvantages, and their applications in machine learning. Explore the structure, metrics, algorithms, and variants of decision trees with examples and code.

    • 19 min
  6. Learn how to use decision trees for classification and regression problems with scikit-learn, a Python library for machine learning. See examples, advantages, disadvantages and parameters of decision trees.

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  8. Nov 29, 2023 · Learn what decision trees are, how they work, and why they are important in machine learning. Explore the difference between classification and regression trees, and see examples and projects to apply your skills.

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