k-nearest-neighbor-classifier | Topic

Topic: "k-nearest-neighbor-classifier"

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

Includes top ten must know machine learning methods with R.

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eonu/sequentia

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Language: Python - Size: 43.7 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 63 - Forks: 9

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.

Language: Jupyter Notebook - Size: 2.31 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 2

Amatofrancesco99/KNN-OpenMPI

An Open MPI implementation of the well known K-Nearest Neighbors (Machine Learning) classifier.

Language: Jupyter Notebook - Size: 8.7 MB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 0

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

Fault diagnosis of some critical and non-critical faults in electric drives using Machine Learning.

Language: Jupyter Notebook - Size: 6.23 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 0

shanathvemula/framework_for_superwised_prediction2

Language: JavaScript - Size: 2.12 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0

felipexw/knn-java-library

Just a simple implementation of K-Nearest Neighbour algorithm.

Language: Java - Size: 348 KB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 6 - Forks: 0

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.

Language: Jupyter Notebook - Size: 301 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

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

PCA(Principle Component Analysis) For Seed Dataset in Machine Learning

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 3

rtimbro185/syr_mads_ist707_data_analytics

Syracuse University, Masters of Applied Data Science - IST 707 Data Analytics

Language: Jupyter Notebook - Size: 112 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

ManuelElizaldi/PyStrava

This project is using Strava's API to download and process my workout data.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

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.

Language: Jupyter Notebook - Size: 43 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

elifkrtl/pkNN

k-Nearest Neighbors Algorithm with p-adic Distance

Language: Python - Size: 457 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

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).

Language: Jupyter Notebook - Size: 601 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

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.

Language: Python - Size: 63.5 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

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.

Language: Jupyter Notebook - Size: 993 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

matheus695p/fraud-detection

Fraud detection

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DeividSouSan/GenderClassificationWebApp

Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

Language: Python - Size: 721 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

fitria-dwi/Hoax-Detection

This project aims to build a model to predict the truth of an article, hoax or non-hoax. Apart from that, this project also wants to identify the percentage of hoax and non-hoax articles.

Language: Jupyter Notebook - Size: 4.22 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

t-will-gillis/T_Will_Gillis_Portfolio

Portfolio

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sneharaoganta/Android_Malware_Analysis

Static and Dynamic Analysis of android malware using various different machine learning algorithms

Language: Jupyter Notebook - Size: 499 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Thehunk1206/Classical-ML-Algorithms

Collection of some classical Machine learning Algorithms.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 8 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

spsingh37/Image-classification

This project explores image classification on the PROPS Classification Dataset. It includes K-Nearest Neighbors, Support Vector Machine, and Softmax classifiers, and two-layer and multi-layer neural networks. The goal is to build a machine learning pipeline, experiment with optimizers, and evaluate model performance.

Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

BrenoFariasdaSilva/Simpsons-Family-Recognizer

Simpsons Members Recognizer Supervised Machine Learning Algorithm.

Language: Python - Size: 5.53 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ncdisrup-ai/MotionCaptureHandPostures

Classify the motion capture from hand postures through supervised learning models

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

caozrich/Etherium_Blockchain_Phishing-_Detection_APP-KNN

k-Nearest Neighbors (KNN) used for an Etherium Blockchain classification problem

Language: Python - Size: 40 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

celilselcuk/Machine-learning-digit-recognition

A digit recognition program which allows digits to be drawn by the user.

Language: Python - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Prashant812/Data-Classification

Data Classification using K-Nearest Neighbour Classifier and Bayes Classifier with Unimodal Gaussian Density

Language: Jupyter Notebook - Size: 261 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

prateekagr21/Drinking-water-Analysis

Classifying the different types of water based on analysis and used various Machine Learning algorithms to solve this usecase

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Abhrojyoti2001/KNN-demo-Classifier

Creating a KNN Classifier with my own code

Language: Jupyter Notebook - Size: 348 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

tboudart/Tanzanian-Water-Pumps-Clustering-and-Classification

For this group project, I performed cluster analysis and classification using Python to predict one of three classes for water pumps; functional, functional but needs repair, and non-functions. I used clustering to find hidden data structures to exploit for fitting individual classification techniques with better results than using the entire dataset. Unfortunately, k-means clustering, DBSCAN, hierarchical clustering, nor OPTICS produced well-defined clusters. The entire dataset was therefore used for fitting classification algorithms. The two classification techniques I was responsible for were k-nearest neighbors and stacked generalization ensemble. For the latter, I combined the best models each group member developed. All the models had a hard time predicting the functional but need repair class. My best model was only able to achieve an accuracy of 76%.

Language: Jupyter Notebook - Size: 7.61 MB - Last synced at: 8 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

emmapaczkowski/capstone-project

Language: Jupyter Notebook - Size: 112 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

Daymenion/classification-using-KNN-algorithm

CLASSIFICATION USING K-NEAREST NEIGHBORS (KNN) ALGORITHM. This project is for classifying banknotes using the KNN algorithm.

Language: C# - Size: 98.6 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

KaranSingh07/ML-flower-species-classifier

This is my first Machine Learning Project as a project of ShapeAI's ML Bootcamp

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

piyush5566/Genetic-Mutation-Classification

The input for this task include gene-variation data and corresponding research text.

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

masumkhan081/machine-learning

Raw Coding Implementation Of Different Sorts Of Machine Learning Algorithms Without Using Library

Language: Python - Size: 17.6 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

taruchit/BITS_dissertation

Binary and multi-class classifiers to classify benign and malicious events, by using nature inspired Heuristic algorithms for feature selection.

Language: Jupyter Notebook - Size: 82.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aaravgupta626/penguin-classifier

Create a supervised ML program using to classify different breeds of penguins.

Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

FrienDotJava/adult-census-income

A machine learning project classifying whether someone has income >$50K or <$50K using several models.

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Torusaynim/Mirea-Data-Analysis

📋 List of practical works from Technologies and Tools for Big Data Analysis subject from university

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nataliabeltranarg/DeepLearning-Medical-Predictions

Utilizing predictive models (NN,Ensembles,KNN & SVM) to predict patient length of stay or mortality in the ICU.

Language: Jupyter Notebook - Size: 6.49 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

yogawan/machine-learning

Sela, E. I. (2023). Modul Praktikum Machine Learning. Fakultas Sains dan Teknologi Universitas Teknologi Yogyakarta.

Language: Jupyter Notebook - Size: 519 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

prajwalp3/Cardiovascular-Disease-prediction-using-Machine-learning-models

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

Language: Jupyter Notebook - Size: 575 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

saumyaprasad07/Gaming-Ballot-Analysis-using-Machine-Learning

This repository contains a Gaming Ballot Analysis project made by me as a part of my Machine Learning Coursework.

Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: 17 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dhwabqryh/Data-Mining-I

Tugas praktikum Data Mining I

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PratishMashankar/twitter-sentiment-analysis

Performing comparative sentiment analysis to determine public reaction on newly introduced Farm Laws of 2020, India by collecting data using Twitter Tweepy API

Language: Python - Size: 16.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 2

HassanMahmoodKhan/A-Data-Driven-Analysis-of-Global-Income-Distribution

This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

justinapnguyen/Hotel_Reviews_Analysis_Using_NLP

In this project, we aim to analyze hotel reviews to determine the underlying sentiment expressed by customers. Our goal is to differentiate between positive and negative reviews using Natural Language Processing (NLP) techniques and machine learning algorithms.

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

DrStef/Applied_Data_Science_Capstone_SpaceX_IBM

Data Science Project: SpaceX Falcon 9 First Stage Landing Prediction.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 2

Impact-Dev1/Road-Traffic-Severity-Classification

Road Traffic Accident Severity: A Comparative Analysis

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

CJMonahann/AI-Classification-Problem-Face-Detection-using-Face-Images-

This project was developed for the CSC-481: Artificial Intelligence class at Southern Connecticut State University. The purpose of this assignment was to use the K-Nearest Neighbor classifier, as well as Decision Tree classifier, to create AI models that could identify the gender of an individual from the provided face dataset.

Language: Python - Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vasupatelll/Email_Spam_Classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

Language: Jupyter Notebook - Size: 660 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

RohitG57/Estimation-of-obesity-levels-based-on-eating-habits-and-physical-condition

This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 records.

Language: Jupyter Notebook - Size: 9.25 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

tararelan/Kaggle-Pancreatic-Cancer

Urinary Biomarkers for Pancreatic Cancer

Language: Jupyter Notebook - Size: 108 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

KIAND-glitch/Classification-Models

Implementation for the Classification and Evaluation models as part of the Introduction to Machine Learning (COMP90049) course at The University of Melbourne.

Language: Jupyter Notebook - Size: 136 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

WilhenAlbertoHM/Tweets-Classification

This project comes from my course in Codecademy, "Build a Machine Learning Model with Python - Skill Path." The project consists of two machine learning models: K-Nearest Neighbors and Naïve Bayes.

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ashwin0229/Collaborative-Filtering-K-nearest-neighbors-and-SVM

Using Collaborative Filtering predicting Movie Rating and K-nearest Neighbours & SVM algorithms for Number ClassificationNumber Classification

Language: Python - Size: 95.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Asmagithu/Prediction-with-Regression-5th-Nov.

This repo include iPhone purchase price prediction project and Bangalore House Price Prediction Project

Size: 869 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ahomec/emopro

Language: Python - Size: 11.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JoseCorreaMorales/ImagePrediction-tersorflow

Uso de TensorFlow.js para llevar a cabo la predicción de imágenes mediante el uso del modelo MobileNet y la clasificación usando el algoritmo K-Nearest Neighbor y 🖐️PoseDetection. Permite la identificación de objetos en imágenes de fuentes como Picsum, e integra la habilidad de cambiar de manera dinámica streams en tiempo real desde la webcam

Language: JavaScript - Size: 2.74 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0