CLASSIFICATION USING K-NEAREST NEIGHBORS (KNN) ALGORITHM. This project is for classifying banknotes using the KNN algorithm.
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Updated
Mar 9, 2021 - C#
CLASSIFICATION USING K-NEAREST NEIGHBORS (KNN) ALGORITHM. This project is for classifying banknotes using the KNN algorithm.
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.
In this project we used a k-nearest neighbors algorithm (KNN) to recommend a book based on your previous book prefrecnces.
Linear Algebra project from TripleTen
K-nn algorithm created for my Uni Project
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