Decision Trees

 Towards Data Science

This post will serve as a high-level overview of decision trees. It will cover how decision trees train with recursive binary splitting and feature selection with “information gain” and “Gini Index”…

Machine Learning: Decision Trees

 Analytics Vidhya

This blog covers another interesting machine learning algorithm called Decision Trees and it’s mathematical implementation. At every point in our life, we make some decisions to proceed further…

DECISION TREE

 Analytics Vidhya

In this Blog I will be writing about a widely used classification (machine learning) algorithm, that is, Decision Tree. Here I will explain about what is Decision Tree, Types of Decision Tree…

Decision Trees

 Machine Learning University - Explain

Let's pretend we're farmers with a new plot of land. Given only the Diameter and Height of a tree trunk, we must determine if it's an Apple, Cherry, or Oak tree. To do this, we'll use a Decision Tree....

A Dive Into Decision Trees

 Towards Data Science

Decision Trees are some of the most used machine learning algorithms. They are used for both classification and Regression. They can be used for both linear and non-linear data, but they are mostly…

All about Decision Tree Algorithms!

 Towards Data Science

The easiest way to understand this algorithm is to consider it a series of if-else statements with the highest priority decision nodes on top of the tree. Given a dataset, we, first of all, find an…

Decision Tree

 Christophm Interpretable Machine Learning Book

Linear regression and logistic regression models fail in situations where the relationship between features and outcome is nonlinear or where features interact with each other. Time to shine for the d...

Learning Decision Trees

 Towards Data Science

In the context of supervised learning, a decision tree is a tree for predicting the output for a given input. We start from the root of the tree and ask a particular question about the input…

Decision Trees in Machine Learning

 Towards Data Science

Ever wondered about how a human brain works while making a decision? The endless possibilities to be comprehended before going down any road, all the mental calculations it performs regarding the…

1.10. Decision Trees

 Scikit-learn User Guide

Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning s......

Under the Hood — Decision Tree

 Towards Data Science

This is the third article in a series of articles where we will understand the “under the hood” workings of various ML algorithms, using their base math equations. With so many optimized…

Binary Decision Trees

 Analytics Vidhya

A Quick Guide to Decision Trees

 Towards Data Science

Decision Trees are a very common, intuitive and explainable method of analyzing data with the goal of dividing the entities into separate groups (classification) or predicting a quantity…

The Basics: Decision Tree Classifiers

 Towards Data Science

Decision trees are a conceptually simple and explicable style of model, though the technical implementations do involve a bit more calculation that is worth understanding. Still, the intuition behind…...

Classification And Regression Trees for Machine Learning

 Machine Learning Mastery

Last Updated on August 15, 2020 Decision Trees are an important type of algorithm for predictive modeling machine learning. The classical decision tree algorithms have been around for decades and mode...

A Short Introduction To Decision Trees

 Level Up Coding

What are decision trees, and how can they be applied? In this post, I would be breaking down the applications, interpretation of results obtained, and the common types of decision tree algorithms…

Decision Trees: Introduction & Intuition

 Towards Data Science

Making data-informed decisions with Python Continue reading on Towards Data Science

Decision Trees, Explained

 Towards Data Science

How to train them and how they work, with working code examples A big decision tree in Zimbabwe. Image by author. In this post we’re going to discuss a commonly used machine learning model called dec...

Decision Tree Machine Learning

 Analytics Vidhya

dec_tree: This creates a new instance of a decision tree. we list our labels as keys with values of either discrete or continuous. This gem implements ID3, which is an algorithm with the purpose of…

Decision Tree — Part 1

 Analytics Vidhya

What is a Decision tree? A decision tree is a supervised learning method with comparatively good accuracy and a self-explanatory model. The approach is Top-Down, and it is a Greedy algorithm. It can…

A quick introduction to Machine Learning. Part-3 (Decision Tree)

 Towards AI

A quick Introduction to Machine Learning. Part-3 (Decision Tree) In this article, we can see how a decision tree is a useful machine-learning method. I recommend you to read part-1 and part-2 to have...

Decision Trees: As You Should Have Learned Them

 Towards Data Science

If you always wanted to learn decision trees, just by reading this, you’ve received a beautiful opportunity, a stroke of luck, I might say. But as entrepreneurs declare, “it’s not enough to be in the…...

Decision Tree — Introduction

 Analytics Vidhya

Decision tree learning is a method for approximating discrete-valued target functions, in which the learned function is represented by a decision tree. Learned trees can also be re-represented as…

Decision Tree: From Theory to Implementation

 Python in Plain English

Introduction Continue reading on Python in Plain English