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Untested

Definition of Untested

Untested: Untested refers to an algorithm or technique that has not been used on any data set.

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AngularJS
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AngularJS

ByDavis

Definition of AngularJS AngularJS is a JavaScript framework for building web applications. It lets you use HTML as your template language, and extends the HTML vocabulary to provide directives for defining your application’s user interface. It also provides a model–view–controller (MVC) framework that helps you structure and manage your application code. What is AngularJS used…

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Inferential Statistics

ByDavis

Definition of Inferential Statistics Inferential Statistics: Inferential statistics are a type of statistics that are used to make estimations about populations based on samples. This is done by using the data from the sample to calculate a statistic, which is then used to make an inference about the population. What are Inferential Statistics used for?…

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Mutation

ByDavis

Definition of Mutation Mutation: A mutation in data science is an alteration of the data, which can be intentional or accidental. How is Mutation used? Mutation is a term that is used when talking about machine learning algorithms, particularly genetic algorithms. It refers to a process of randomly making changes or modifications to the data…

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D3

ByDavis

Definition of D3 D3 is a JavaScript library for data-driven documents. It helps you to create data visualisations using HTML, SVG and CSS. D3 makes it easy to bind data to DOM nodes, making it easy to manipulate and style your data. What is D3 used for? D3, or Data-Driven Documents, is a JavaScript library…

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K-Nearest Neighbors

ByDavis

Definition of K-Nearest Neighbors K-Nearest Neighbors (KNN) is a machine learning algorithm used to predict the output value of a target variable by finding the k nearest neighbors of a given input value. The algorithm assigns a weight to each neighbor, then uses a weighted average to predict the output value for the target variable….

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Resampling

ByDavis

Definition of Resampling Resampling: Resampling is a technique used in data science to create new datasets from existing ones. It involves selecting a subset of the data to be used in the new dataset, and then randomly selecting samples from that subset. This process is repeated multiple times to create a new dataset that is…

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