decision

Decision Tree Classification

And the leaves represent outcomes like either ‘fit’, or ‘unfit’. There are two main types of Decision Trees:Classification Trees. Regression…

Decision Tree Regressor explained in depth

Decision Tree Regressor explained in depthGeorgios DrakosBlockedUnblockFollowFollowingMay 22Decision Tree algorithm has become one of the most used machine learning algorithm both…

Measuring Performance: AUC (AUROC)

Measuring Performance: AUC (AUROC)Rachel Ballantyne DraelosBlockedUnblockFollowFollowingFeb 23The area under the receiver operating characteristic (AUROC) is a performance metric that you can…

Classification and Regression Analysis with Decision Trees

and splits into the child nodes Stay in and Outlook based on whether or not there is work to do.…

Data Science vs. Decision Science

By ActiveWizards Data science has become a widely used term and a buzzword as well. It is a broad field representing…

Building Intuition for Random Forests

Building Intuition for Random ForestsRandom Forest — A group of decision trees — is a powerful machine learning algorithmRishi SidhuBlockedUnblockFollowFollowingMay 2Photo by Vladislav Babienko on UnsplashIt…

A gentle guide into Decision Trees with Python

This is based on his/her history and other measures. Which drug is best for a particular patient. Is a cancerous…

Artificial and Human Intelligence

Artificial and Human IntelligenceAlainChabrierBlockedUnblockFollowFollowingApr 24Prescriptive Analytics is the area of Artificial Intelligence dedicated to prescribe best possible next actions. It…

Decision Making Is More Than Quantitative Problem Solving

I have never seriously thought about it before. This time, I want to walk outside the data science garden and…

Random Forests for Complete Beginners

We try every possible split for the 6 datapoints we have and realize that y=2 is the best split. We…

Decision Tree for Better Usage

The answer is ‘it depends’. We should rather focus on how they are different. From Introduction to Data MiningWe learnt that…

Machine Learning Algorithms In Layman’s Terms, Part 2

If we could measure the room’s entropy now, it would be pretty low (and its information gain would be high).…

Tree-Based Methods: Classification

Tree-Based Methods: ClassificationKushal ValaBlockedUnblockFollowFollowingMar 22The article is based on the Classification task by Decision Tree Algorithm, which is used more…

Tree-Based Methods: Regression Trees

Tree-Based Methods: Regression TreesKushal ValaBlockedUnblockFollowFollowingMar 18This article gives a detailed review of the Decision Tree Algorithm used for Regression task-setting.…

Understanding Decision Trees (once and for all!) ????

????This plot on the left is the same as the previous one but with the first decision boundary of the…

How to Visualize a Decision Tree from a Random Forest in Python using Scikit-Learn

How to Visualize a Decision Tree from a Random Forest in Python using Scikit-LearnA helpful utility for understanding your modelWill KoehrsenBlockedUnblockFollowFollowingAug…

Introduction to gradient boosting on decision trees with Catboost

Boosting focuses on misclassified tuples, it risk overfitting the resulting composite model to such data. • Greedy algorithm for construction…

Dealing with Categorical Data fast — an example

Dealing with Categorical Data fast — an exampleSamir GadkariBlockedUnblockFollowFollowingFeb 7You’re in the office at 9 AM. Your boss comes in, gives you some…

ML Algorithms: One SD (σ)- Decision Trees Algorithms

ML Algorithms: One SD (σ)- Decision Trees AlgorithmsSagi ShaierBlockedUnblockFollowFollowingFeb 4An intro to machine learning decision trees algorithmsThe obvious questions to…

Distilling a Neural Network into a soft decision tree

Distilling a Neural Network into a soft decision treeRazorthink IncBlockedUnblockFollowFollowingJan 24As part of the commitment to continuous (& cutting edge) research…

Gentle Introduction of XGBoost Library

And when not to use XGBoost?Two common terms used in ML is Bagging & BoostingBagging: It is an approach where…

Decision Trees — An Intuitive Introduction

Just like how we train a neural network before using it for making predictions we have to train (build) a…

Everything You Need to Know About Decision Trees

Everything You Need to Know About Decision TreesIntro to decision trees, random forests, bagging, boosting, and the underlying theoryMarco PeixeiroBlockedUnblockFollowFollowingJan 16Photo…

Decision Boundary Visualization(A-Z)

Decision Boundary Visualization(A-Z)Meaning, Significance, ImplementationNavoneel ChakrabartyBlockedUnblockFollowFollowingJan 16Classification problems have been very common and essential in the field of Data Science.…

Explainable Artificial Intelligence

By Preet Gandhi, NYUIntroduction In the era of data science, artificial intelligence is making impossible feats possible. Driverless cars, IBM…