Analytics Vidhya

OCTOBER 2, 2020

Understanding the problem of Overfitting in Decision Trees and solving it by. Quick Guide to Cost Complexity Pruning of Decision Trees appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. The post Let’s Solve Overfitting!

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Analytics Vidhya

AUGUST 29, 2021

Let’s now start with Decision tree’s and I assure you this is probably the easiest algorithm in Machine Learning. The post Decision Tree Algorithm -A Complete Guide appeared first on Analytics Vidhya. There’s not much mathematics involved here. Since […].

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Analytics Vidhya

MARCH 25, 2022

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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Analytics Vidhya

JANUARY 21, 2023

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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KDnuggets

JANUARY 14, 2020

All you need to know about decision trees and how to build and optimize decision tree classifier.

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KDnuggets

SEPTEMBER 2, 2022

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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Analytics Vidhya

FEBRUARY 25, 2021

ArticleVideo Book Introduction Decision Trees are probably one of the common machine learning algorithms and this is something every Data Science beginner should know. The post How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 26, 2024

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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Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Decision Trees which are supervised Machine Learning Algorithms are one. The post 25 Questions to Test Your Skills on Decision Trees appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 22, 2021

ArticleVideo Book Introduction In the previous article- How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes, you understood the basics. The post How to select Best Split in Decision trees using Gini Impurity appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 4, 2022

A decision tree algorithm is a supervised Machine Learning Algorithm. The post Complete Flow of Decision Tree Algorithm appeared first on Analytics Vidhya. One is Supervised, and the other is Unsupervised algorithms.

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Machine Learning Mastery

SEPTEMBER 20, 2024

We will explore ordinal encoding in-depth and […] The post Decision Trees and Ordinal Encoding: A Practical Guide appeared first on MachineLearningMastery.com. This post will begin by discussing the different types of categorical data often encountered in datasets.

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Analytics Vidhya

MARCH 25, 2021

The post How to select Best Split in Decision Trees using Chi-Square appeared first on Analytics Vidhya. ArticleVideo Book Introduction Welcome back! In the previous article, we learned about Gini impurity which we use to decide the purity of nodes.

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Analytics Vidhya

JANUARY 30, 2022

Decision Tree 3. Conclusion Introduction This article is on the Decision Tree algorithm in Machine Learning. The post Decision Tree Machine Learning Algorithm appeared first on Analytics Vidhya. Table of Contents 1. Introduction 2. Terminologies 4. CART Algorithm 5. Calculating Information Gain 6.

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KDnuggets

FEBRUARY 2, 2023

Learn how a Decision Tree works and implement it in Python.

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Analytics Vidhya

FEBRUARY 3, 2023

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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Analytics Vidhya

OCTOBER 6, 2020

The post All About Decision Tree from Scratch with Python Implementation appeared first on Analytics Vidhya. Introduction Photo by Tim Foster on Unsplash If you see, you will find out that today, ensemble learnings are more popular and used by.

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KDnuggets

AUGUST 21, 2019

This tutorial covers decision trees for classification also known as classification trees, including the anatomy of classification trees, how classification trees make predictions, using scikit-learn to make classification trees, and hyperparameter tuning.

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Analytics Vidhya

MARCH 26, 2021

ArticleVideo Book Introduction In the previous article, we saw the Chi-Square algorithm- How to select Best Split in Decision Trees using Chi-Square. The post How to select Best Split in Decision Trees using Information Gain appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 3, 2021

DECISION TREE Decision tree learning or classification Trees are a. The post Implement Of Decision Tree Using Chi_Square Automatic Interaction Detection appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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KDnuggets

SEPTEMBER 16, 2022

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.

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KDnuggets

AUGUST 26, 2022

Decision tree models are used to classify information into meaningful sequential results. Find out everything else you need to know here.

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Analytics Vidhya

APRIL 29, 2021

Overview What Is Decision Classification Tree Algorithm How to build. The post Beginner’s Guide To Decision Tree Classification Using Python appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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Dataconomy

APRIL 4, 2025

Gradient boosting decision trees (GBDT) are at the forefront of machine learning, combining the simplicity of decision trees with the power of ensemble techniques. Understanding the mechanics behind GBDT requires diving into decision trees, ensemble learning methods, and the intricacies of optimization strategies.

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Analytics Vidhya

JUNE 28, 2021

The post Analyzing Decision Tree and K-means Clustering using Iris dataset. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: As we all know, Artificial Intelligence is being widely. appeared first on Analytics Vidhya.

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KDnuggets

FEBRUARY 18, 2022

Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

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KDnuggets

FEBRUARY 25, 2022

Pick your visualizations strategically. They need to tell a story.

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Hacker News

MAY 17, 2025

This is the first in a series of posts about decision trees in the context of machine learning. The goal here is to provide a foundational understanding of decision trees and to implement them.

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KDnuggets

AUGUST 21, 2019

You'll learn how to create a decision tree, how to do tree bagging, and how to do tree boosting. Check out this tutorial walking you through a comparison of XGBoost and Random Forest.

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KDnuggets

AUGUST 29, 2024

Discover how decision trees simplify complex choices and enhance data-driven decisions in real-world scenarios.

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KDnuggets

AUGUST 2, 2022

A simple, non-math heavy explanation of two popular tree-based machine learning models.

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KDnuggets

MARCH 2, 2022

Telling a Great Data Story: A Visualization Decision Tree; What Is the Difference Between SQL and Object-Relational Mapping (ORM)?; Top 7 YouTube Courses on Data Analytics ; How Much Do Data Scientists Make in 2022?; Design Patterns in Machine Learning for MLOps.

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Flipboard

MAY 27, 2025

In machine learning model development, feature engineering plays a crucial role since real-world data often comes with noise, missing values, skewed distributions, and even inconsistent formats.

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Dataconomy

MARCH 28, 2025

Decision trees are a fundamental tool in machine learning, frequently used for both classification and regression tasks. Their intuitive, tree-like structure allows users to navigate complex datasets with ease, making them a popular choice for various applications in different sectors. What is a decision tree?

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Towards AI

MARCH 4, 2025

Trees playing Baseball by author using DALLE 3. Decision trees form the backbone of some of the most popular machine learning models in industry today, such as Random Forests, Gradient Boosted Trees, and XGBoost. One of the biggest advantages of decision trees is their interpretability. Image by author.

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KDnuggets

NOVEMBER 11, 2022

A simple explanation and implementation of DTs ID3 algorithm in Python.

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KDnuggets

MARCH 8, 2022

Also: Calculus: The hidden building block of machine learning; Decision Tree Algorithm, Explained; Telling a Great Data Story: A Visualization Decision Tree; The Complete Collection of Data Science Cheat Sheets – Part 1.

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