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  1. 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 visualizations of decision trees with examples and code.

    • 19 min
  2. Learn how to use decision tree, a supervised learning technique, for classification and regression problems. Understand the terminologies, steps, and techniques of decision tree, such as information gain, Gini index, and pruning.

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  3. May 31, 2024 · Learn what a decision tree is, how it works, and why it is useful for machine learning. Explore different types of decision trees, such as classification and regression trees, and see examples of how to build and evaluate them.

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  4. Mar 15, 2024 · Learn the basics of decision trees, a versatile and interpretable algorithm for predictive modelling. Understand the components, terminologies, construction, and advantages of decision trees, and how to use them for classification and regression tasks.

    • 32 min
  5. 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.

  6. 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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  8. May 17, 2017 · Learn how to use decision trees for classification and regression problems in machine learning. Understand the basics of growing, pruning and boosting decision trees, and see examples with titanic and house price data.

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