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Something-More about KNN Classification

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One of the most basic algorithms used for classification (of course you are familiar with machine learning ). This algorithm is one of the more simple techniques used in machine learning and…

KNN(K_Nearest Neighbors)

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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…

Summary of KNN algorithm when used for classification

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The aim of writing this article is to summarise the KNN or the K-nearest neighbor algorithm in such a way that the parameters that will be discussed will be useful to decide how the algorithm will be…...

An Overlooked Limitation of Traditional kNNs

Daily Dose of Data Science

kNNs, by default, classify a new data point as follows: Count its class-wise “k” nearest neighbors. Assign the data point to the class with the highest count. As a result, during classification, the v...

Machine Learning: kNN Algorithm

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The k-Nearest Neighbors(k-NN) algorithm is simple and easy to implement. It is Supervised Learning technique which can solve both Classification and Regression problems. So, the first question which…

k-nearest neighbours

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KNN is a simple and intuitive Machine Learning Algorithm. It can be used for both classification and regression. It is a sort of Supervised Learning where we get both x and y. KNN is Non-Parametric…

The Basics: KNN for classification and regression

Towards Data Science

Data science or applied statistics courses typically start with linear models, but in its way, K-nearest neighbors is probably the simplest widely used model conceptually. KNN models are really just…

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...

K Nearest Neighbors

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KNN is a non-parametric, lazy learning algorithm. When we say a technique is non-parametric , it means that it does not make any assumptions on the underlying data distribution. Step 1: Choose the…

K-Nearest Neighbors (KNN)

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In this Blog I will be writing about a very famous supervised learning algorithm, that is, k-nearest neighbors or in short KNN. Here I will explain about what is KNN algorithm, Industrial uses of KNN…...

Implementing K Nearest Neighbours(KNN) without using Scikit Learn

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Let's see what the definition says: KNN is a supervised learning algorithm that estimates how likely a data point(instance) belongs to one class or the other depending upon which class its ‘k’…