Decision Trees

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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 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...

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…

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…