An Unmissable Opportunity to Earn your Data Science Certificate Picture this – you are given the opportunity to take a…
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Plotting Decision Surface for Classification Machine Learning Algorithms
Overview Machine Learning algorithms for classification involve learning how to assign classes to observations. There are nuances to every algorithm.…
Continue Reading4 Simple Ways to Split a Decision Tree in Machine Learning
Overview How do you split a decision tree? What are the different splitting criteria when working with decision trees? Learn…
Continue ReadingMario Annau
Why Management Loves OverfittingManaging expectations of decision makers in data scienceDeploy and share your R code in seconds — not weeks. QBits Workspace: A…
Continue ReadingCost-Sensitive Decision Trees for Imbalanced Classification
The decision tree algorithm is effective for balanced classification, although it does not perform well on imbalanced datasets. The split…
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And the leaves represent outcomes like either ‘fit’, or ‘unfit’. There are two main types of Decision Trees:Classification Trees. Regression…
Continue ReadingDecision 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…
Continue ReadingMeasuring 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…
Continue ReadingClassification 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.…
Continue ReadingData 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…
Continue ReadingBuilding 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…
Continue ReadingA 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…
Continue ReadingArtificial and Human Intelligence
Artificial and Human IntelligenceAlainChabrierBlockedUnblockFollowFollowingApr 24Prescriptive Analytics is the area of Artificial Intelligence dedicated to prescribe best possible next actions. It…
Continue ReadingDecision 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…
Continue ReadingRandom 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…
Continue ReadingDecision 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…
Continue ReadingMachine 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).…
Continue ReadingTree-Based Methods: Classification
Tree-Based Methods: ClassificationKushal ValaBlockedUnblockFollowFollowingMar 22The article is based on the Classification task by Decision Tree Algorithm, which is used more…
Continue ReadingTree-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.…
Continue ReadingUnderstanding 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…
Continue ReadingHow 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…
Continue ReadingIntroduction 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…
Continue ReadingDealing 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…
Continue ReadingML 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…
Continue ReadingDistilling 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…
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