What is knn? How is knn done? Why is knn needed?
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Erdos Institute Bootcamp project analyzing cuisines by recipe ingredient lists.
[Machine Learning] My own version of the K-Nearest-Neighbors classifier.
A convolutional neural network, k-nearest-neighbors classifier, and a support vector machine to predict an artist based on images of artworks.
Credit card Fraud Transaction Detection using various machine learning algorithm.
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
Treinamento de um modelo para classificação utilizando o dataset iris e o algoritmo K-Nearest Neighbors.
A Data Science&Machine Learning&NLP-powered Flask Web Application that classifies Email/SMS messages as either Spam or Ham (Not Spam).
Stroke Prediction AI Model using KNeighborsClassifier
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