tim-pearson/NumPyAI-Models

Impementaion of various AI models using Numpy

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soumyadeepghoshGG/Social-Media-Engagement-Analysis

Perform K-means clustering to segregate instances of social media interaction records.

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AmirMotefaker/Customer-Segmentation-using-R

Customer Segmentation using R

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PrimerLi/K_means_scala

K means algorithm implemented with Scala

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AbbasPak/K-Means-Clustering-in-psychology-Case-study

K-Means Clustering for the coping strategies of Brief COPE Questionnaire

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BrianMburu/Market_Segmentation

Notebook to Perform Market Segmentation using K-means clustering, PCA, and Auto-encoders.

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SarodYatawatta/LSHM

LOFAR System Health Management

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Srijith-rkr/Finding-Optimal-location-for-a-restaurant-using-geospatial-analysis-and-FourSquare-API

Finding the optimal location for a restaurant using clustering and geolocational data

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Mariajru/ML_Clustering

Clustering with different Machine Learning algorithms

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mbiot2022/Regression-Based-Assessment

A Regression-Based Assessment of Efficiency in Wireless Sensor Network Clustering energy efficiency study

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taexj/ML-Based-Student-Housing-Solution

A project to find the best accommodation for students using data analysis and Machine Learning

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Manar20575/Data-Science-Project

build a models that predicts whether an individual makes over $50,000 per year.

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kamil-sita/simple_kmeans

Simple to use KMeans Java library.

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Parzigit/Image-Processing-DL

Deep Learning->Dragon fruit maturity detection using image processing

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florian-thouraud/Algorithme-Detection-Faux-Billets-en-Python

Project de fin d'études. Comment construire un algorithme de détection de faux billets !

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hyunsooseol/snowCluster

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

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sebastianalamina/ML_2023-2

Trabajos presentados como parte del curso de Reconocimiento de Patrones y Aprendizaje Automatizado, impartido por el profesor Sergio Hernández López durante el semestre 2023-2 en la Facultad de Ciencias, UNAM.

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Nicole-Ham/CryptoClustering

Module 19 Challenge

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robail-yasrab/RGB_GT_Encoding

Language: Python - Size: 10.7 KB - Last synced: 10 days ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

sudarshanvats14/RFM-analysis

Doing RFM analysis on Online retail data using K-means clustering

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ramxbx/GamblingAddictionTimeSeriesPrediction

A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns

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ArkaBarua173/Clustering-of-coffee-quality

Clustering of Coffee quality with K-means and PCA

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SondosAhmed19/Analyzing-the-online-Shopper-s-purchasing-intention

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florfontana02/Laboratorio-de-Datos

Data Analysis, Data Modeling, Linear Regression. Proyectos de la materia Laboratorio de Datos. FCEN UBA 2° Cuatrimestre 2022.

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RezaSaadatyar/Machine-Learning-in-Python

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

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aksh-patel1/Big-Data-Processing_Parallelize-K-means

Implemented the parallelized version of k-means clustering algorithm in Spark and assess its efficiency using a real-world dataset.

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fauziah61/Brazilian-E-Commerce-Customer-Segmentation-using-K-Means-Clustering-and-RFM-Model

Data Science Bootcamp Final Project

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fauziah61/Airline-Customer-Segmentation-using-K-Means-Clustering-and-LRFMC-Model

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memgonzales/meta-learning-clustering

Presented at the 2022 IEEE Region 10 Conference (TENCON 2022). Our main contribution is twofold: (1) the construction of a meta-learning model for recommending a distance metric for k-means clustering and (2) a fine-grained analysis of the importance and effects of the meta-features on the model's output

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srp98/Unsupervised-Learning

Clustering Algorithms based on centroids namely K-Means Clustering, Agglomerative Clustering and Density Based Spatial Clustering

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IsaacCheng9/machine-learning-in-chess

A final year project for the University of Exeter, using machine learning to study patterns in millions of chess games (~350 GB). Ranked 1st in the cohort for undergraduate projects (85%).

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MainakRepositor/Book-Recommender

Content and Collaborative Filtering based book recommendation system

Language: Python - Size: 18 MB - Last synced: 6 days ago - Pushed: over 1 year ago - Stars: 24 - Forks: 5

JimmyCodeur/classification_Iris

💐 Projet de classification K-means de fleur d'iris

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bgr8/Makine-ogrenmesi

Machine Learning with Python

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tucan9389/image-clustering-browser

Language: Python - Size: 252 KB - Last synced: 15 days ago - Pushed: over 3 years ago - Stars: 3 - Forks: 1

FallingLights/Simple-Image-Compression

Image Compression using K-Means Algorithm

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kenanmorani/pattern_recognition_idu

University Course Assignment - Pattern Recognition

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SohhamSeal/Help-me-with-my-data

A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms

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IDU-CVLab/COV19D_3rd

ICASSP 2023: AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (AI-MIA-COV19D): An accurate automated solution for COVID-19 diagnosis using UNet segmentation, lung extraction, and classification framework

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lowhung/clustering-algorithms

Algorithms related to clustering such as k-Medians, DBSCAN as well as vector quantization.

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celebrezze/postfire-recovery-spectral-recovery

This repository contains data, scripts, and figures for the manuscript entitled 'A fast spectral recovery does not necessarily indicate post-fire forest recovery' which compares spectral recovery, topographic and climatic data, and field measurements of post-fire vegetation dynamics in the Blue Mountains, OR. For more information, see the README

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yogawan/machine-learning

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jColeChanged/josh.meanings

A k means implementation in Clojure which supports clustering on larger than memory but smaller than storage datasets.

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alikashlan10/Heart-disease-clustering

statistical inference project with the task of clustering

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alexsuakim/MachineLearning

Machine learning model implementations from scratch in Python

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easonlai/customer_segmentation_with_rfm_k-means

This is a code sample repository to leverage the famous Online Retail dataset by UCI Machine Learning Library to perform Customer Segmentation with RFM Modelling and perform clustering by K-Means cluster algorithm.

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macabdul9/image-segmentation

image segmentation using K-means and K-means++ algorithm.

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umairqadir97/K_Mean

Implmentation of K_Mean algorithm

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JPMMaia/computer-vision-1

Computer vision exercises

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agnikai0/firestation-clustering Fork of kulgg/firestation-clustering

The optimization problem of Bochums optiomal firestation locations solved customized k-means clustering algorithm.

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karan-sutariya/Data-Clustering-using-K-Means-EM-algorithms

This repository implements K-Means clustering on the Old-Faithful dataset, with visualization of clustering iterations and distortion. It also applies K-Means for image compression/segmentation and utilizes the EM algorithm with a Gaussian Mixture Model for classification.

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Juan-Alvarado21/App-de-Procesamiento-de-Imagenes-en-Cpp

Este proyecto es un prototipo de aplicación en C++ con interfaz Qt. Aplica transformaciones, muestra información relevante y opera filtros en el Bitmap para comprender los fundamentos de Visión por Computadora y Procesamiento Dígital de Imágenes.

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kludgeTeam22-23/Image-Steganography-with-K-means-clustering-and-AES

The text message is encrypted using 128 bit key AES encryption. Then steganography is performed using k-means clustering and LSB technique

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sayande01/Customer_Segmentation_K-Means_Custering_Machine_Learning_Project

Employ K-means clustering on customer income and spending data to segment the market effectively. Gain insights for targeted marketing and personalized strategies, enhancing customer satisfaction and driving business growth.

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Deepak2094/Fifa-Soccer-Analysis

Language: R - Size: 4.37 MB - Last synced: 22 days ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

joaomota59/redesNeuraisArtificiais

Programas usados em Redes Neurais Artificiais

Language: Python - Size: 94.7 KB - Last synced: 23 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

Bru-sic/module_10-Unsupervised-Learning

Crypto Clustering

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leanerr/DataAnalyse_K-means_clustering

K-means_clustering for 5000 data in a dataset with 2 features.

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leanerr/DataAnalyse_k_means_vs_DBSCAN_clustering

Comparsion Between k_means and DBSCAN Clustering based on their accuracy

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zhcf/AICourse

人工智能基础（高中版）例子程序

Size: 37.4 MB - Last synced: 14 days ago - Pushed: 14 days ago - Stars: 2 - Forks: 2

NickLucche/image_segmentation

Image Segmentation using k-means, n-cuts and superpixels

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sueszli/k-means

naive k-means clustering

Language: Python - Size: 56.6 KB - Last synced: 24 days ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

anggaagustiratelkom/Machine-Learning

Metode yang digunakan Naive Bayes dan K-Means

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brandonmanke/k-means-clustering

K-Means clustering & classification algorithm for n-dimensional vectors implemented in C++

Language: C++ - Size: 34.2 KB - Last synced: 26 days ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

ahmednadr/-k-mean-clustering-with-PCA

K-mean clustering

Language: Python - Size: 4.84 MB - Last synced: 27 days ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

Abhishek2271/ClusterDataWithKmeans

Aggregate news items collected via RSS feeds into clusters.

Language: Python - Size: 27.3 KB - Last synced: 27 days ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

lfoscari/mnist-perceptron

Naive implementation of the multilabel kernel perceptron for the MNIST dataset

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pudnax/k-clustering

Value Sketches Using k-Means Clustering

Language: Rust - Size: 1.24 MB - Last synced: 28 days ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 0

nemat-al/Introduction_To_Machine_Learning

Tasks for Introduction to Machine Learning Course @ ITMO University

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DRSY/MoTIS

[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)

Language: Swift - Size: 16.5 MB - Last synced: 27 days ago - Pushed: about 1 year ago - Stars: 113 - Forks: 10

grupoudea/simulacion-sistemas

Este repositorio almacena algunos algoritmos de Machine Learning con implementación usando librerías y sin librerías, mayormente usando Python. Se agregan algunos algoritmos adicionales, usando Python, Rust y otros lenguajes.

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kamilsan/image-palette-generator

Generating image palette using K-Means Clustering

Language: C++ - Size: 25.3 MB - Last synced: 29 days ago - Pushed: 30 days ago - Stars: 2 - Forks: 0

Ji-eun-Kim/2023_BigContest

클래식 공연 활성화를 위한 예술의전당 콘서트홀의 효과적 가격 모델 수립 | 제11회 2023 빅콘테스트 | 🏆 최우수상(2위)

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saman-nia/Deep-Neural-Networks-for-Clustering

Deep Learning Clustering with Tensor-Flow in Python

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anhquan075/CS232-Webdemo

Web demo for CS232 at VNUHCMC

Language: JavaScript - Size: 11.7 MB - Last synced: 30 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

naak-ktr/Customer-Segmentation-for-Airline-Loyalty-Program-Optimization

Airline Customer Segmentation using Unsupervised ML: Implementing K-Means Clustering to categorize airline customers based on their behavior and preferences. This project aims to assist airline companies in tailoring their loyalty programs effectively by identifying distinct customer segments.

Language: Jupyter Notebook - Size: 7.21 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

bhattbhavesh91/k_means_iris_dataset

KMeans Clustering for IRIS Dataset Classification

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clareduval/2120_DataStructuresAndAlgorithms

Compilation of data structure and algorithm projects from CPSC 2120.

Language: C++ - Size: 717 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

FalsoMoralista/ClusteringAnalysis

Using clustering approaches to reduce intraclass variability. We have assessed a traditional clustering pipeline (feature extraction + dimensionality reduction with AE's + K-Means).

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Thomas-George-T/Ecommerce-Data-MLOps

End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOps Tools

Language: Python - Size: 79.3 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 1

tianrui-qi/WOS-Analysis

Windows of susceptibility (WOS) analysis for brain diseases including zika and cognitive disorder.

Size: 3.48 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

devotuoma/Mall-Customers-Segmentation

In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.

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NimishNagapure/Problems_on_K-means_Clustering

➕ Solving Problems Using ➗ (✔ K-Means Clustering Algorithm✔)

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sabitendu/Capstone_Project_On_Netflix_Movies_And_TV-Shows_Clustering

Explore a comprehensive analysis of Netflix's extensive collection of movies and TV shows, clustering them into distinct categories. This GitHub repository contains all the details, code, and insights into how we've organized and grouped the vast content library into meaningful clusters.

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MartinKalema/Loan-Default-Prediction

Refactory Final

Language: Jupyter Notebook - Size: 6.84 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

sushantnair/K-Means-Clustering

A simple implementation of the K-Means Clustering Algorithm

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mrchandrayee/Customer-Segmentation

Language: Jupyter Notebook - Size: 771 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

manisha-nair28/Pistachio-Species-Classification

Implementation of classification algorithms to classify pistachio species

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thitirat-mnc/DataSci-ML-Portfolio

A compilation of my projects in Data Science, Artificial Intelligence, Machine Learning, Natural Language Processing, and Data Analytics

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KUANCHENGFU/News-Article-Clustering

Language: Jupyter Notebook - Size: 9.6 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 2 - Forks: 0

brenden-DS/Customer-segmentation

Language: Jupyter Notebook - Size: 86.9 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Lefteris-Souflas/AI-Fashion

A project for the Machine Learning and Content Analytics course of the AUEB's MSc in Business Analytics

Language: Jupyter Notebook - Size: 785 MB - Last synced: about 1 month ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

Kushagra1taneja/SpendTrend-Analytics-K-Means-Clustering-for-Customer-Insights

This project aims to analyze customer spending trends using K-Means clustering, a popular unsupervised machine learning algorithm. By clustering customers based on their annual income and spending score, the goal is to gain insights into different customer segments to inform marketing strategies and business decisions.

Language: Python - Size: 8.79 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

ErfanBrv/Unsupervised-FBH-detection

A Two-Step Unsupervised FBH detection Usingand k-means and Spectral CNN Clustering

Language: Python - Size: 1.92 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Hari-1903/Financial-Clustering

In this project, unsupervised learning methods, particularly clustering, are employed to determine the optimal algorithm for predicting whether a company has achieved net profit or incurred a net loss.

Language: Jupyter Notebook - Size: 520 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Akash1070/Machine-Learning-

Learning Machine Learning Through Data

Language: Jupyter Notebook - Size: 4.65 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Aalaa4444/Hamming_Network

Hamming Network implementation using PCA implementation from scratch

Language: Jupyter Notebook - Size: 1.16 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

inregards2pluto/cryptocurrencies

Use unsupervised machine learning models to analyze cryptocurrency data.

Language: Jupyter Notebook - Size: 5.64 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

RubixML/Colors

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

Language: PHP - Size: 251 KB - Last synced: 16 days ago - Pushed: about 2 years ago - Stars: 15 - Forks: 3

mustafacanayter/module19-machinelearning

Utilizing Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.

Language: Jupyter Notebook - Size: 79.1 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0