What is knn? How is knn done? Why is knn needed?
-
Updated
Aug 9, 2018 - Jupyter Notebook
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.
[Machine Learning] My own version of the K-Nearest-Neighbors classifier.
Erdos Institute Bootcamp project analyzing cuisines by recipe ingredient lists.
Credit card Fraud Transaction Detection using various machine learning algorithm.
A convolutional neural network, k-nearest-neighbors classifier, and a support vector machine to predict an artist based on images of artworks.
Using machine learning to determine the causes of wildfires
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
Stroke Prediction AI Model using KNeighborsClassifier
Add a description, image, and links to the knearest-neighbors-classifier topic page so that developers can more easily learn about it.
To associate your repository with the knearest-neighbors-classifier topic, visit your repo's landing page and select "manage topics."