Octree/Quadtree/N-dimensional linear tree

Knn implementation without K parameter

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

C++ implementation for machine learning algorithm K-NN

A simple implementation of K Nearest Neighbors classifier model in python.

A semantic search engine to find questions semantically similar to given query using Elastic Search, Tensorflow, Universal Sentence Encoder, AWS Lambda, API Gateway

Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.

Building a ML model that can predicts the species of the flower from the measurements of the petal and the sepal

AU331机器学习与知识发现课程项目——拍照矩阵计算器开发

Recommendation System Using K-Nearest Neighbors .

Image classification in the gastrointestinal tract with KNN and CNN

This project is an application for classifying the quality of coconuts using the K Nearest Neighbors algorithm. It is built with Streamlit for easy deployment.

Machine learning and Deep learning project

Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.

A swift implementation of a KNearestNeighbour Classifier in swift.

Project 1 for Introduction to Machine Learning course.

Self Work Coding Files related to Data Science

Intro to k-nearest neighbors (KNN) with cuML.

In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

Machine Learning Hyperparameter Optimization (Grid Search and Random Search)