Check out the
topics page for highly curated tutorials and libraries on k-nearest-neighbors.

What is K-Nearest Neighbors? And how to implement it in Python with RAPIDS cuML.

data-science k-nearest-neighbors rapids gpu

Benchmarks of approximate nearest neighbor libraries in Python

similarity-search embeddings k-nearest-neighbors benchmark

An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

similarity-search embeddings k-nearest-neighbors library

This repo contains mathematical derivations and python implementations in numpy for key machine learning algorithms

linear-regression logistic-regression neural-networks k-nearest-neighbors

Prediction of Eye State Using KNN algorithm with Walk-forward validation.

machine-learning k-nearest-neighbors scikit-learn data-science

Examples for all the different utilities within scikit-learn.

scikit-learn naive-bayes linear-regression logistic-regression

2018-04-03 · In this project we will be discussing how to predict the effect of Genetic Variants to enable Personalized Medicine for various types of cancer using ML ...

machine-learning cancer support-vector-machines logistic-regression

2020-06-18 · By Using KNN algorithm the model achieved 98% accuracy on testing data.

k-nearest-neighbors machine-learning exploratory-data-analysis code

RecommendMe Developed a recommendation engine for the posts Two methods used:- 1) content-based Filtering 2) Collaberative-based Filtering

recommendation-systems k-nearest-neighbors tutorial code

projects **1 - 10** of **17**