KNN Classification

Homo sapiens — the KNN classifier

Towards Data Science

Homo sapiens — the KNN classifier How our decisions are governed by the KNN approach Photo by Sylas Boesten on Unsplash The K-nearest neighbours (KNN) method is probably the most intuitive classifier...

KNN (K-Nearest Neighbors) #1

Towards Data Science

KNN (K — Nearest Neighbors) is one of many (supervised learning) algorithms used in data mining and machine learning, it’s a classifier algorithm where the learning is based “how similar” is a data…

KNN: K-Nearest Neighbours

Level Up Coding

To start with, K-NN is classified as a supervised machine learning algorithm. For those who want to understand supervised and unsupervised machine learning algorithm, here is a link for the same. In…

Use Jax to Create a KNN Classifier

Python in Plain English

The k-nearest neighbours algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an...

Understanding K-Nearest Neighbors (KNN) Classification with Visualizations

Python in Plain English

The Basics of KNN Classification At the heart of the KNN algorithm is the idea that objects are more likely to be similar if they are close to each other. In the context of classification, KNN determi...

K-Nearest-Neighbors Classification Algorithm in Practice

Python in Plain English

KNN algorithm is a supervised classification algorithm that is mainly used to predict which category a query point belongs to, given a bunch of data values with respect to its corresponding…

KNN(K_Nearest Neighbors)

Analytics Vidhya

KNN is a supervised machine learning algorithm (a dataset which has been labelled) is used for binary as well as multi class classification problem especially in the field of economic forecasting…

Understanding the KNN-Algorithm

Analytics Vidhya

KNN is a supervised learning algorithm used for both regression and classification problems. Mostly used for Classification though. KNN tries to predict the correct class of test data by calculating…

K-Nearest Neighbours (KNN) for Classification

Towards AI

Lazy Learning This is the easiest classification algorithm to understand and implement. It is also called instance-based learning (IBL), case-based reasoning (CBR), or lazy learning. Table of Content...

How K-NN is different from K-Means

Analytics Vidhya

KNN i.e K-Nearest Neighbors is a supervised classification algorithm used to classify datapoints into different categories say category-alpha and category-beta. If you don’t understand what is meant…

Breast Cancer Classification Using KNN Algorithm

Analytics Vidhya

I have applied the Machine Learning approach of KNN algorithms to classify the tumor cells as benign or malignant on the Breast Cancer (Wisconsin) database. KNN algorithm works on the assumption that…...

K-Nearest Neighbors (KNN)

Python in Plain English

Implementation and evaluation of KNN model in python Creating a model to make predictions based on fresh data or forecast future occurrences based on unobserved data is the ultimate objective of a ma...