knearest-neighbors

There are 0 repository under knearest-neighbors topic.

attcs / Octree
Octree/Quadtree/N-dimensional linear tree
geometry geometry-algorithms octree quadtree n-dimensions bounding-box range-search collision-detection knn knearest-neighbors cpp20 ray parallel high-dimensional cpp
Language:C++ 91
ullayne02 / Natural-Neighbor
Knn implementation without K parameter
artificial-intelligence machine-learning knearest-neighbors
Language:Python 11
pragmaticpython / k-nearest-neighbors-python
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
k-nearest-neighbours k-nearest-neighbors k-nearest-neighbor knn knearest-neighbor-algorithm knearest-neighbors knearest-neighbor-classifier knearest-neighbors-classifier knearest-neighbor-classification k-nn k-nearest-neighbors-k-nn knn-classification knn-classifier knn-algorithm knn-model machine-learning python python3 machinelearning machine-learning-algorithms
Language:Python 10
mddragnev / k-nearest-neighbors
C++ implementation for machine learning algorithm K-NN
nearest-neighbours knearest-neighbors machine-learning knn-algorithm
Language:C++ 9
mahesh147 / K-Nearest-Neighbors
A simple implementation of K Nearest Neighbors classifier model in python.
knearest-neighbors python3 machine-learing-algorithms machine-learning-algorithms sklearn
Language:Python 7
gborn / Semantic-Search-Engine-Using-ElasticSearch
A semantic search engine to find questions semantically similar to given query using Elastic Search, Tensorflow, Universal Sentence Encoder, AWS Lambda, API Gateway
api-gateway aws-lambda bert-model ci-cd-pipeline ecr elasticsearch knearest-neighbors streamlit tensorflow
Language:Jupyter Notebook 5
Paul-Andrew-15 / ICC-2023-Worldcup-prediction
Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.
algorithms artificial-intelligence cricket datasets jupyter-notebook knearest-neighbors machine-learning naive-bayes-algorithm random-forest sckit-learn support-vector-machines worldcup2023
Language:Jupyter Notebook 3
K1nght / Matrix-in-Sight
AU331机器学习与知识发现课程项目——拍照矩阵计算器开发
ocr-recognition knearest-neighbors object-detection
Language:Python 2
parismollo / Liris
Building a ML model that can predicts the species of the flower from the measurements of the petal and the sepal
dimensions iris-dataset knearest-neighbors machine-learning-algorithms
Language:Python 2
Z4ck404 / recommender-system
Recommendation System Using K-Nearest Neighbors .
machine-learning knn-classification knn-algorithm javascript recommender-system machine-learning-algorithms knearest-neighbors
Language:JavaScript 2
ammarsufyan / Coconut-Quality-Classification-Streamlit
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.
knn machine-learning sklearn streamlit knearest-neighbors streamlit-webapp
Language:Jupyter Notebook 1
ashiqueeelahi / Flight-Delay-Prediction-Challenge
n this project I used different regression algorithms to predict flight delay. I used Kaggles free GPUs and Datasets from Zindi in this project. Those different algorithms include random forrest, decision tree, xgboost and so on. Initially I used feature engineering and used data visualization techniques to get my data into the best shape.
random-forest knearest-neighbors xgboost lightgbm regression
Language:Jupyter Notebook 1
Dropout-Analytics / cuml_knn
Intro to k-nearest neighbors (KNN) with cuML.
intro-to-data-science knearest-neighbors
Language:Jupyter Notebook 1
janskwr / WUM-proj1
Project 1 for Introduction to Machine Learning course.
classification-model knearest-neighbors logistic-regression machine-learning ml voe xgboost
Language:Jupyter Notebook 1
joigno / datahipsters
DataHipsters is a service implementing MinHash similarity on a Key-Value Database (Google AppEngine/GCloud), including an API for k-nearest neighbors (k-nn) used in Online Recommender Systems.
machine-learning minhash-similarity google-appengine knearest-neighbors python gcloud
Language:Python 1
LeilaZa / HyperParameter-Optimization
Machine Learning Hyperparameter Optimization (Grid Search and Random Search)
hyperparameter-optimization hyperparameter-tuning automl random-forest decision-tree naive-bayes xgboost logistic-regression knearest-neighbors hpo education
Language:Python 1
mdsahilak / KNearestNeighbour
A swift implementation of a KNearestNeighbour Classifier in swift.
machine-learning python3 knearest-neighbors xcode-playground swift
Language:Swift 1
ms-daniel / II-Projeto-IA
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.
knearest-neighbor-algorithm knearest-neighbor-classification knearest-neighbor-classifier knearest-neighbors kneighborsclassifier knn-classification perceptron 1r one-rule one-rule-classifier onerclassifier oneruleclassifier tkinter tkinter-gui tkinter-python
Language:Python 1
pranshu1921 / Microsoft-Malware-Detection
A multiclass classification problem to classify malware classes.
multiclass-classification microsoft malware-analysis confusion-matrix logloss shutil pandas matplotlib seaborn numpy pickle sklearn xgboost decision-tree-classifier knearest-neighbors logistic-regression random-forest-classifier
Language:Jupyter Notebook 1
rajaprerak / ML_DL_WebApp
Machine learning and Deep learning project
tensorflow keras scikit-learn knearest-neighbors flask heroku python
Language:JavaScript 1
Sarvandani / ML_classifications-Sarcasm_detection
Sklearn, logistic regression, Naive Bayes classifier, K-Nearest Neighbors, decision trees
classification decison-trees knearest-neighbors logistic-regression machine-learning navies-bayes-classifer sarcasm-detection sklearn
Language:Python 1
satrapankti / Data-Science
Self Work Coding Files related to Data Science
association-rules clustering decision-trees ensemble forecasting gradient-boosting hypothesis-testing knearest-neighbors linear-regression logistic-regression naive-bayes natural-language-processing neural-network principal-component-analysis random-forest recommender-system support-vector-machines
Language:Jupyter Notebook 1
tomassams / tdt4173-machine-learning-project
Image classification in the gastrointestinal tract with KNN and CNN
artificial-intelligence cnn convolutional-neural-networks google-colab image-classification image-recognition keras knearest-neighbors knn machine-learning machinelearning resnet tensorflow transfer-learning
Language:Jupyter Notebook 1
WalidKW / Titanic-Disaster
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).
data-analysis data-science eda knearest-neighbors machine-learning-algorithms naive-bayes random-forest titanic-kaggle titanic-survival-prediction decision-trees gradient-boosting
Language:Jupyter Notebook 1
awiksshiith-narang / titanic_survivors
This model predicts whether the survivors of the Titanic survived or not. In this file, different classification models are compared and predictions are done from the model(s) having highest accuracy. Here, 'training_data.csv' is used for training and testing the models and 'testing data.csv' is used for predictions. These data sets are from Kaggle
desiciontree knearest-neighbors logistic-regression naive-bayes support-vector-machines random-forest
Language:Python 0
foofx88 / Machine_Learning_Models
Demonstrating different Machine Learning Model
random-forest machine-learning deep-learning regression classification knearest-neighbors
Language:Jupyter Notebook 0
grvnair / heart-failure-prediction
Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository
accuracy-score classification-algorithm classification-model decision-tree-classifier evaluation-metrics f1-score knearest-neighbors logistic-regression machine-learning precision-recall random-forest-classifier support-vector-classifier
Language:Jupyter Notebook 0
grvnair / knn-from-scratch
Created a Python program for K Nearest Neighbor Algorithm implementation from scratch. Determined the Euclidean distance between the data points to classify a new data point as per the maximum number of nearest neighbors. Implemented the algorithm on sklearn’s IRIS dataset which achieved an accuracy of 95.56%.
algorithm knearest-neighbor-algorithm knearest-neighbors machine-learning python
Language:Jupyter Notebook 0
igorvgp / DS-health-insurance-cross-sell
Using Machine Learning to rank a list of customers most likely to buy a Car Insurance for a cross-sell campaign.
learning-to-rank machine-learning python knearest-neighbors logistic-regression random-forest xgboost
Language:Jupyter Notebook 0
saikrishnabudi / K-Nearest-Neighbour-KNN
Data Science - K-Nearest Neighbors (KNN) Work
classification grid-search kfold knearest-neighbors knn machine-learning metrics sklearn standardscaler
Language:Jupyter Notebook 0
smh997 / Transactions-Results-Prediction
Predicting the results of the given transactions by classification
classification knn-algorithm knn-classification knn-classifier knearest-neighbors knearest-neighbor-classification prediction machine-learning
Language:Jupyter Notebook 0
brunoacafonso / SpaceX-Falcon9
Using machine learning algorithms to predict SpaceX Falcon 9's First Stage Landing Sucess
decision-tree machine-learning svm knearest-neighbors logistic-regression webscraping api
Language:Jupyter Notebook
Chandrakant817 / Flight_Price-Prediction
Flight_Price Prediction using Machine Learning.(Regression Use Case)
decision-tree flight-price-prediction knearest-neighbors linear-regression machine-learning random-forest support-vector-machine
Language:Jupyter Notebook
gtrunz / fruit_dataset
The purpose of this project is to promote understanding -- my own and others' -- of fundamental data science and machine learning concepts and tools. It currently consists of one notebook that classifies fruit types based on weight, volume, and image data.
cross-validation data-science data-visualization decision-tree image-classification knearest-neighbors machine-learning pipelines principal-component-analysis random-forest
Language:Jupyter Notebook
kwilson-tech / Automobile-Price-Prediction
regression-analysis linear-regression knearest-neighbors support-vector-regression decision-tree-regression
Language:Jupyter Notebook
santiagoahl / clustering-algorithms
In this repository I am gonna show the main and most popular non-supervised clustering algorithms with short explanations.
dbscan hierarchical-clustering kmeans knearest-neighbors
Language:Jupyter Notebook

knearest-neighbors

attcs / Octree

ullayne02 / Natural-Neighbor

pragmaticpython / k-nearest-neighbors-python

mddragnev / k-nearest-neighbors

mahesh147 / K-Nearest-Neighbors

gborn / Semantic-Search-Engine-Using-ElasticSearch

Paul-Andrew-15 / ICC-2023-Worldcup-prediction

K1nght / Matrix-in-Sight

parismollo / Liris

Z4ck404 / recommender-system

ammarsufyan / Coconut-Quality-Classification-Streamlit

ashiqueeelahi / Flight-Delay-Prediction-Challenge

Dropout-Analytics / cuml_knn

janskwr / WUM-proj1

joigno / datahipsters

LeilaZa / HyperParameter-Optimization

mdsahilak / KNearestNeighbour

ms-daniel / II-Projeto-IA

pranshu1921 / Microsoft-Malware-Detection

rajaprerak / ML_DL_WebApp

Sarvandani / ML_classifications-Sarcasm_detection

satrapankti / Data-Science

tomassams / tdt4173-machine-learning-project

WalidKW / Titanic-Disaster

awiksshiith-narang / titanic_survivors

foofx88 / Machine_Learning_Models

grvnair / heart-failure-prediction

grvnair / knn-from-scratch

igorvgp / DS-health-insurance-cross-sell

saikrishnabudi / K-Nearest-Neighbour-KNN

smh997 / Transactions-Results-Prediction

brunoacafonso / SpaceX-Falcon9

Chandrakant817 / Flight_Price-Prediction

gtrunz / fruit_dataset

kwilson-tech / Automobile-Price-Prediction

santiagoahl / clustering-algorithms