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Decision Trees: Split Methods & Hyperparameter Tuning

Analytics Vidhya

Introduction Decision trees, a fundamental tool in machine learning, are used for both classification and regression. With each internal node representing a decision based on a feature and each leaf node representing an outcome, decision trees mirror human decision-making processes, making them accessible and interpretable.

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Decision Tree Pruning: The Hows and Whys

KDnuggets

Decision trees are a machine learning algorithm that is susceptible to overfitting. One of the techniques you can use to reduce overfitting in decision trees is pruning.

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Step-by-Step Working of Decision Tree Algorithm

Analytics Vidhya

But, In the Decision tree, we don‘t […] The post Step-by-Step Working of Decision Tree Algorithm appeared first on Analytics Vidhya. In those algorithms, the major disadvantage is that it has to be linear, and the data needs to follow some assumption. For example, 1. Homoscedasticity 2. multicollinearity 3.

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Decision Tree Machine Learning Algorithm Using Python

Analytics Vidhya

Introduction In this article, we are going to learn about Decision Tree Machine Learning algorithm. We will build a Machine learning model using a decision tree algorithm and we use a news dataset for this. The post Decision Tree Machine Learning Algorithm Using Python appeared first on Analytics Vidhya.

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Top 10 Must Read Interview Questions on Decision Trees

Analytics Vidhya

Introduction Decision trees are one of the most widely used algorithms in machine learning which provide accurate and reliable results that can be used for classification and regression problems. In data science interviews, questions are mostly asked related to decision trees.

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A Comprehensive Guide to Decision trees

Analytics Vidhya

The post A Comprehensive Guide to Decision trees appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. In this series, we will start by discussing how to.

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Simplifying Decision Tree Interpretability with Python & Scikit-learn

KDnuggets

This post will look at a few different ways of attempting to simplify decision tree representation and, ultimately, interpretability. All code is in Python, with Scikit-learn being used for the decision tree modeling.