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Gray Reid has spent most of his career in basketball and sports media. He began as a student manager for the Nevada men’s basketball team, then went on to coach overseas in China and later joined the ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

Multi-class classification is a machine learning technique to predict the value of a variable that can be one of three or more possible values. For example, you might want to predict the political ...

Arrhythmia beat classification is an active area of research in ECG based clinical decision support systems. In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to classify ...

This Jupyter Notebook demonstrates the implementation of a K-Nearest Neighbors (KNN) algorithm using the concept of nearest neighbors without using direct classifiers. It also includes exploratory ...

Abstract: Prototype Selection (PS) techniques can be implemented very efficiently to allow the nearest neighbor classification to be faster by using a simple method to preserve the most prominent data ...

Abstract: Classification of highly dimensional Microarray data using K-nearest neighbour (K-NN) is a time-consuming task when implemented on general purpose processors (GPPs), and such it can benefit ...

The COVID-19 pandemic has caused an unprecedented spike in confirmed cases in 230 countries globally. In this work, a set of data from the COVID-19 coronavirus outbreak has been subjected to two ...

Using a range of machine learning algorithms, train a set of classifiers on the dataset (using SKLearn etc.) and present classification performance results. Detail your rationale for the parameter ...