K Nearest Neighbor - Learn Data Science with Travis

Travis chat

K-nearest neighbor

Towards Data Science

KNN or k-nearest neighbor is a supervised learning algorithm. It can be applied to both Regression and Classification problem-solving. KNN is a technique of identifying the category or class label of…...

K-Nearest Neighbors

Towards Data Science

A perfect opening line I must say for presenting the K-Nearest Neighbors. Yes, that's how simple the concept behind KNN is. It just classifies a data point based on its few nearest neighbors. How…

K-Nearest Neighbor(k-NN)

Analytics Vidhya

The k-nearest neighbors (K-NN) algorithm is a simple, easy to implement supervised machine learning algorithm. The “K” in k-NN refers to the number of nearest neighbors it will take into…

k-Nearest Neighbor Algorithm

Analytics Vidhya

k-NN is a supervised machine learning algorithm that is used to solve classification problems. It is a lazy learning algorithm because it only generalizes data after a query is made. It does…

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…

K Nearest Neighbors

Analytics Vidhya

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…

Get to know your k-Nearest Neighbor

Analytics Vidhya

K-nearest neighbors algorithm (k-NN) is a supervised, instance-based, non-parametric algorithm which makes use of the k closest examples in the feature space. Supervised means that it needs to be fed…...

Rudimentary k-Nearest Neighbors

Towards Data Science

Sometimes in data science you find yourself picking up a missile launcher in order to kill a mere ant. In this case though, we are going to be discussing what is probably the most intuitive machine…

KNN (K-Nearest Neighbors) #2

Towards Data Science

If you have not read yet, or don’t know how KNN works, I suggest you read this post before you continue reading this, so you will find the algorithm’s explanation without codes. Let’s start! First…

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…

K-nearest Neighbor: The maths behind it, how it works and an example

Analytics Vidhya

K-nearest Neighbor (KNN) is a supervised classification algorithm that is based on predicting data by finding the similarities to the underlying data. KNN is most widely used for classification…

Introducing k-Nearest Neighbors

Towards Data Science

The k-nearest neighbors algorithm is based on a very simple premise: That things that are close together have a lot in common. This premise can be seen all over the world: The k-nearest neighbors…