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This is a project that implements the K-Nearest Neighbors (KNN) algorithm in Python. KNN is a machine learning algorithm used for classification or regression based on training data, and is an unsupervised learning model. This implementation allows you to train a KNN model on training data and classify new data.

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Name		Name	Last commit message	Last commit date
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KNN-Class.ipynb		KNN-Class.ipynb
KNN-Implementation.ipynb		KNN-Implementation.ipynb
ReadMe.md		ReadMe.md

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K-NearestNeighbors-Implementation

In this repository I impemented classification algorythm called K-nearest neighbors(KNN)

This repository consits of 2 jpynb files:

KNN-Implementation (where I built basic implementation of algorythm)
KNN-Class (where I built generalized KNN class)

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This is a project that implements the K-Nearest Neighbors (KNN) algorithm in Python. KNN is a machine learning algorithm used for classification or regression based on training data, and is an unsupervised learning model. This implementation allows you to train a KNN model on training data and classify new data.

python classifier machine-learning supervised-learning classification python-implementation knn-algorithm

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