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1. www.analyticsvidhya.com › decision-tree-algorithmDecision Tree? [A Step-by-Step Guide] - Analytics Vidhya

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   May 31, 2024 · Learn what a decision tree is, how it works, and how to build and evaluate it. See examples of decision trees for classification and regression tasks, and the terminologies and assumptions involved.

2. www.geeksforgeeks.org › decision-tree-introductionDecision Tree in Machine Learning - GeeksforGeeks

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   Mar 15, 2024 · Learn how to use decision trees, a versatile and interpretable algorithm for predictive modelling, with examples and terminologies. Explore the construction, advantages, and learning algorithms of decision trees for classification and regression tasks.

   • Video Duration: 32 min

3. towardsai.net › p › programmingDecision Trees Explained With a Practical Example - Towards AI

   towardsai.net › p › programming

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   Jan 6, 2023 · A decision tree is one of the supervised machine learning algorithms. This algorithm can be used for regression and classification problems — yet, is mostly used for classification problems. A decision tree follows a set of if-else conditions to visualize the data and classify it according to the conditions. For example, Source: mc.ai.

4. People also ask

   What is a decision tree algorithm?

   • It is a tree-like structure where each internal node tests on attribute, each branch corresponds to attribute value and each leaf node represents the final decision or prediction. The decision tree algorithm falls under the category of supervised learning. They can be used to solve both regression and classification problems.

   Decision Tree in Machine Learning - GeeksforGeeks

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   What is a decision tree supervised learning algorithm?

   • A decision tree is a non-parametric supervised learning algorithm for classification and regression tasks. It has a hierarchical tree structure consisting of a root node, branches, internal nodes, and leaf nodes. Decision trees are used for classification and regression tasks, providing easy-to-understand models.

   Decision Tree? [A Step-by-Step Guide] - Analytics Vidhya

   www.analyticsvidhya.com/blog/2021/08/decision-tree-algorithm/

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   How to demystify decision trees?

   • To demystify Decision Trees, we will use the famous iris dataset. This dataset is made up of 4 features : the petal length, the petal width, the sepal length and the sepal width. The target variable to predict is the iris species. There are three of them : iris setosa, iris versicolor and iris virginica.

   Understanding Decision Trees (once and for all!)

   towardsdatascience.com/understanding-decision-trees-once-and-for-all-2d891b1be579

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   What is a decision tree?

   • A decision tree is a hierarchical model used in decision support that depicts decisions and their potential outcomes, incorporating chance events, resource expenses, and utility. This algorithmic model utilizes conditional control statements and is non-parametric, supervised learning, useful for both classification and regression tasks.

   Decision Tree? [A Step-by-Step Guide] - Analytics Vidhya

   www.analyticsvidhya.com/blog/2021/08/decision-tree-algorithm/

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5. towardsdatascience.com › decision-trees-forDecision Trees for Classification — Complete Example

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   Jan 1, 2023 · Learn how to construct a decision tree for a simple example dataset using Gini Impurity criterion. See the steps, terms, and code for building and visualizing the tree.

6. www.geeksforgeeks.org › decision-tree-algorithmsDecision Tree Algorithms - GeeksforGeeks

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   May 22, 2024 · Decision trees are a type of machine-learning algorithm that can be used for both classification and regression tasks. They work by learning simple decision rules inferred from the data features. These rules can then be used to predict the value of the target variable for new data samples.

7. www.geeksforgeeks.org › decision-treeDecision Tree - GeeksforGeeks

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   May 17, 2024 · How to Determine the Best Split in Decision Tree? Decision Tree Algorithms and Variants. General Decision Tree Algorithms: Decision Tree Algorithms; Advanced Algorithms: C5.0 Algorithm of Decision Tree ; Comparative Analysis and Differences. With Other Models: ML | Logistic Regression v/s Decision Tree Classification

8. towardsdatascience.com › understanding-decisionUnderstanding Decision Trees (once and for all!) | by ...

   towardsdatascience.com › understanding-decision

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   Mar 2, 2019 · To demystify Decision Trees, we will use the famous iris dataset. This dataset is made up of 4 features : the petal length, the petal width, the sepal length and the sepal width. The target variable to predict is the iris species. There are three of them : iris setosa, iris versicolor and iris virginica. Iris species.