k-nearest-neighbor-classifier

There are 0 repository under k-nearest-neighbor-classifier topic.

bkrai / Top-10-Machine-Learning-Methods-With-R
Includes top ten must know machine learning methods with R.
machine-learning market-basket-analysis cluster-analysis decision-tree extreme-gradient-boosting k-nearest-neighbor-classifier logistic-regression naive-bayes-classifier pca-analysis random-forest
75
eonu / sequentia
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
classification-algorithms dtw dynamic-time-warping hidden-markov-models hmm k-nearest-neighbor-classifier knn machine-learning multivariate-timeseries python sequence-classification sequential-patterns time-series time-series-classification variable-length
Language:Python 58
Ruban2205 / Iris_Classification
This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.
iris-classification iris-dataset k-nearest-neighbor-classifier logistic-regression machine-learning navie-bayes-algorithm support-vector-classifier logistic-regression-algorithm
Language:Jupyter Notebook 17
SnowCheetos / Emsemble-Tradebot
A data driven trade-bot, running on an ensemble of 3 different ML algorithms, generates buy/sell signals of a given asset and timeframe using technical indicators.
cryptocurrency trade-bot autotrader machine-learning random-forest gradient-boosting naive-bayes-classifier k-nearest-neighbor-classifier trading technical-indicators finance-application financial-analysis
Language:Python 11
felipexw / knn-java-library
Just a simple implementation of K-Nearest Neighbour algorithm.
data-science k-nearest-neighbor-classifier k-nearest-neighbours knn knn-algorithm knn-classification knn-classifier machine-learning supervised-learning supervised-learning-algorithms supervised-learning-classifiers supervised-machine-learning
Language:Java 7
HassanMahmoodKhan / Machine-Learning-Based-Fault-Diagnosis-of-Electric-Drives
Fault diagnosis of some critical and non-critical faults in electric drives using Machine Learning.
classification fault-detection fault-diagnosis k-nearest-neighbor-classifier machine-learning multiclass-classification random-forest
Language:Jupyter Notebook 6
shanathvemula / framework_for_superwised_prediction2
python django mechanical-keyboard sklearn pandas numpy-arrays numpy pandas-dataframe supervised-learning support-vector-machines logistic-regression decision-tree-classifier navie-bayes-algorithm k-nearest-neighbor-classifier
Language:JavaScript 6
Ayantika22 / PCA-Principle-Component-Analysis-For-Seed-Dataset
PCA(Principle Component Analysis) For Seed Dataset in Machine Learning
principle-component-analysis seed-dataset jupyter-notebook python-3 unsupervised-learning machine-learning classifier classification accuracy cohen-kappa logistic-regression knn-classifier k-nearest-neighbor-classifier dimensionality-reduction-technique support-vector-machines gaussian-naive-bayes decision-tree-classifier random-forest-classifier
Language:Jupyter Notebook 5
PyStrava
ManuelElizaldi / PyStrava
This project is using Strava's API to download and process my workout data.
workout-tracker data-engineering data-science k-nearest-neighbor-classifier data-etl-pipeline google-apis strava-api fitness sql-database
Language:Jupyter Notebook 5
rtimbro185 / syr_mads_ist707_data_analytics
Syracuse University, Masters of Applied Data Science - IST 707 Data Analytics
r python3 jupyter-notebook machine-learning-algorithms k-nearest-neighbor-classifier support-vector-machines random-forest-classifier naive-bayes association-rule-mining market-basket-analysis apriori-algorithm data-mining
Language:Jupyter Notebook 5
Heart-Disease-Prediction-KNN
shaadclt / Heart-Disease-Prediction-KNN
This project focuses on predicting heart disease using the K-Nearest Neighbors (KNN) classification algorithm implemented in a Jupyter Notebook. It aims to provide a tool that can assist in early detection and diagnosis of heart disease based on given input features.
k-nearest-neighbor-classifier
Language:Jupyter Notebook 5
Amatofrancesco99 / KNN-OpenMPI
An Open MPI implementation of the well known K-Nearest Neighbors (Machine Learning) classifier.
cpp k-nearest-neighbor-classifier machine-learning-algorithms openmpi
Language:Jupyter Notebook 4
matheus695p / fraud-detection
Fraud detection
convolutional-neural-networks gans k-nearest-neighbor-classifier logistic-regression nn svm-classifier tabgan vae xgboost
Language:HTML 4
liyongh1 / KNN-Classification-with-Breast-Cancer-Data
breast-cancer-classification k-nearest-neighbor-classifier machine-learning-algorithms
Language:Jupyter Notebook 3
Diagnosify-KNN
Omanshu209 / Diagnosify-KNN
This is a Python - based application that predicts diseases based on the symptoms inputted by the user using machine learning (KNN classifier algorithm).
jupyter-notebook k-nearest-neighbor-classifier kivy kivymd machine-learning python python3 scikit-learn
Language:Jupyter Notebook 3
sneharaoganta / Android_Malware_Analysis
Static and Dynamic Analysis of android malware using various different machine learning algorithms
decision-tree-classifier k-nearest-neighbor-classifier naive-bayes-classifier random-forest-classifier
Language:Jupyter Notebook 3
fitria-dwi / Hoax-Detection
This project was made as a report for a Big Data Challenge at Satria Data 2020 by IPB University.
decision-tree-classifier gaussian-naive-bayes hoax-detection k-nearest-neighbor-classifier logistic-regression machine-learning-algorithms neural-network random-forest-classifier support-vector-machines text-mining unsupervised-learning
Language:Jupyter Notebook 2
shaadclt / Iris-Species-Detection-KNN
This project involves detecting iris species using the k-nearest neighbors (KNN) algorithm in Jupyter Notebook. The iris species detection task is a classic problem in machine learning, where the goal is to classify iris flowers into different species based on their measurements.
k-nearest-neighbor-classifier
Language:Jupyter Notebook 2
t-will-gillis / T_Will_Gillis_Portfolio
Portfolio
machine-learning pandas python scikit-learn html-css-javascript javascript-framework jupyter-notebook reactjs mongodb-database nodejs sqlite-database monaca-cordova flask natural-language-processing decision-tree-classifier k-nearest-neighbor-classifier django-framework docker
2
Thehunk1206 / Classical-ML-Algorithms
Collection of some classical Machine learning Algorithms.
classical-machine-learning machine-learning kmeans-clustering singular-value-decomposition imagecompression python numpy sklearn scikit-learn k-nearest-neighbor-classifier linear-regression gradient-descent logistic-regression classification-metrics principal-component-analysis eigenvectors dimensionality-reduction support-vector-machines lagrangian optimization-algorithms
Language:Jupyter Notebook 2
Abhrojyoti2001 / KNN-demo-Classifier
Creating a KNN Classifier with my own code
k-nearest-neighbor-classifier numpy
Language:Jupyter Notebook 1
ArpitaSatsangi / brain-stroke-prediction
The dataset used in the development of the method was the open-access Stroke Prediction dataset. It is used to predict whether a patient is likely to get stroke based on the input parameters like age, various diseases, bmi, average glucose level and smoking status. K-nearest neighbor and random forest algorithm are used in the dataset.
algorithm k-nearest-neighbor-classifier machine-learning python random-forest
Language:Jupyter Notebook 1
BrenoFariasdaSilva / Simpsons-Family-Recognizer
Simpsons Members Recognizer Supervised Machine Learning Algorithm.
artificial-intelligence k-nn python dataset supervised-learning decision-tree-classifier k-nearest-neighbor-classifier multilayer-perceptron-network random-forest-classifier support-vector-machine-classifier
Language:Python 1
Etherium_Blockchain_Phishing-_Detection_APP-KNN
caozrich / Etherium_Blockchain_Phishing-_Detection_APP-KNN
k-Nearest Neighbors (KNN) used for an Etherium Blockchain classification problem
ai blockchain-technology ethereum k-nearest-neighbor-classifier k-nearest-neighbors keras-classification-models keras-tensorflow machine-learning python3
Language:Python 1
CelCoding / Machine-learning-digit-recognition
user-drawn digit recognition program
python digitrecognition hand-drawn-digits machine-learning prediction pygame k-nearest-neighbor-classifier
Language:Python 1
Elizabeth-Mathew1 / MovieRecommender
A basic movie recommendation system, which uses content-based filtering to suggest the top 5 similar movies as per the user's search.
deep-learning content-based-recommendation k-nearest-neighbor-classifier
Language:Jupyter Notebook 1
JJBarata / ml_anomaly_detection
Modelo preditivo, baseado em 6 modelos de classificação binária e multiclasse, capaz de distinguir entre conexões "ruins", que são os ataques, das conexões "boas" ou normais.
python3 pandas numpy sklearn machine-learning-algorithms classification-algorithm gradient-boosting-classifier logistic-regression jupyter-notebook anomaly-detection linear-support-vector-machine k-nearest-neighbor-classifier gaussian-naive-bayes logistic-regression-classifier random-forest-classifier accuracy python
Language:Jupyter Notebook 1
KhaledAshrafH / KNN-Classifier
This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features (variance, skew, curtosis, and entropy) and a class attribute indicating whether a banknote is real or forged.
banknote-authentication euclidean-distance k k-nearest-neighbor-classifier k-nearest-neighbors k-nearest-neighbours knn knn-algorithm knn-classification knn-classifier machine-learning machine-learning-algorithms
Language:Python 1
ncdisrup-ai / MotionCaptureHandPostures
Classify the motion capture from hand postures through supervised learning models
classification-algorithm decision-tree-classifier k-nearest-neighbor-classifier random-forest-classifier supervised-machine-learning
Language:Jupyter Notebook 1
Prashant812 / Data-Classification
Data Classification using K-Nearest Neighbour Classifier and Bayes Classifier with Unimodal Gaussian Density
k-nearest-neighbor-classifier bayes-classifier
Language:Jupyter Notebook 1
prateekagr21 / Drinking-water-Analysis
Classifying the different types of water based on analysis and used various Machine Learning algorithms to solve this usecase
k-nearest-neighbor-classifier logistic-regression random-forest-classifier support-vector-machines xgboost-classifier
Language:Jupyter Notebook 1
Praveen2812git / knn_distance_metric_comparison
Performance Comparison of two different distance metrics in K - Nearest Neighbors
comparison euclidean k-nearest-neighbor-classifier manhattan
Language:Jupyter Notebook 1
Sarah-Hesham-2022 / PendigitsDataset-FromScratch-Simple-KNNClassifier
Building from scratch simple KNN Classifier without using frameworks built-in functions and applying it on the Pen Digits Dataset.
artificial-intelligence datasciene k-nearest-neighbor-classifier machine-learning-algorithms models-generation pendigits problem-solving python-programming scratch-implementation supervised-learning-algorithms
Language:Jupyter Notebook 1
sminerport / sminerport
🌟 Scott Miner's GitHub portfolio showcasing personal projects, coding skills, and expertise in Software Development/Data Analytics/AI/ML. Get in touch for collaboration!
artificial-intelligence artificial-neural-networks data-analytics data-science k-nearest-neighbor-classifier machine-learning naive-bayes-classifier natural-language-generation natural-language-processing sequence-prediction software-development software-engineering text-augmentation
1
Tauseef117 / Diabetes-Early-Prediction
Model built using Classification algorithms to predict diabetes at early stage.
classification-algorithm data-preprocessing data-science data-visualization decision-tree-classifier k-nearest-neighbor-classifier logistic-regression numpy pandas-python scikit-learn seaborn support-vector-machines supervised-learning
Language:Jupyter Notebook 1
tboudart / Life-Expectancy-Regression-Analysis-and-Classification
I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The regression models were fitted on the entire dataset, along with subsets for developed and developing countries. I tested ordinary least squares, lasso, ridge, and random forest regression models. Random forest regression performed the best on all three datasets and did not overfit the training set. The testing set R2 was .96 for the entire dataset and developing country subset. The developed country subset achieved an R2 of .8. I tested seven different classification algorithms to classify a country as developing or developed. The models obtained testing set balanced accuracies ranging from 86% - 99%. From best to worst, the models included gradient boosting, random forest, Adaptive Boosting (AdaBoost), decision tree, k-nearest neighbors, support-vector machines, and naive Bayes. I tuned all the models' hyperparameters. None of the models overfitted the training set.
pandas numpy seaborn scikit-learn statsmodels ordinary-least-squares ridge-regression lasso-regression random-forest-regression naive-bayes-classifier k-nearest-neighbor-classifier decision-tree-classifier random-forest-classifier support-vector-classifier adaboost-classifier gradient-boosting-classifier jupyter-notebooks python matplotlib-pyplot
Language:Jupyter Notebook 1

k-nearest-neighbor-classifier

bkrai / Top-10-Machine-Learning-Methods-With-R

eonu / sequentia

Ruban2205 / Iris_Classification

SnowCheetos / Emsemble-Tradebot

felipexw / knn-java-library

HassanMahmoodKhan / Machine-Learning-Based-Fault-Diagnosis-of-Electric-Drives

shanathvemula / framework_for_superwised_prediction2

Ayantika22 / PCA-Principle-Component-Analysis-For-Seed-Dataset

ManuelElizaldi / PyStrava

rtimbro185 / syr_mads_ist707_data_analytics

shaadclt / Heart-Disease-Prediction-KNN

Amatofrancesco99 / KNN-OpenMPI

matheus695p / fraud-detection

liyongh1 / KNN-Classification-with-Breast-Cancer-Data

Omanshu209 / Diagnosify-KNN

sneharaoganta / Android_Malware_Analysis

fitria-dwi / Hoax-Detection

shaadclt / Iris-Species-Detection-KNN

t-will-gillis / T_Will_Gillis_Portfolio

Thehunk1206 / Classical-ML-Algorithms

Abhrojyoti2001 / KNN-demo-Classifier

ArpitaSatsangi / brain-stroke-prediction

BrenoFariasdaSilva / Simpsons-Family-Recognizer

caozrich / Etherium_Blockchain_Phishing-_Detection_APP-KNN

CelCoding / Machine-learning-digit-recognition

Elizabeth-Mathew1 / MovieRecommender

JJBarata / ml_anomaly_detection

KhaledAshrafH / KNN-Classifier

ncdisrup-ai / MotionCaptureHandPostures

Prashant812 / Data-Classification

prateekagr21 / Drinking-water-Analysis

Praveen2812git / knn_distance_metric_comparison

Sarah-Hesham-2022 / PendigitsDataset-FromScratch-Simple-KNNClassifier

sminerport / sminerport

Tauseef117 / Diabetes-Early-Prediction

tboudart / Life-Expectancy-Regression-Analysis-and-Classification