Projects in Awesome Lists tagged with unsupervised-machine-learning
A curated list of projects in awesome lists tagged with unsupervised-machine-learning .
https://github.com/greyhatguy007/machine-learning-specialization-coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning
Last synced: 14 May 2025
https://github.com/opencog/opencog
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
agi learning learning-algorithm natural-language natural-language-inference natural-language-understanding robot-controller robotics unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning
Last synced: 26 Mar 2025
https://github.com/seanwood/gcc-nmf
Real-time GCC-NMF Blind Speech Separation and Enhancement
cross-correlation dictionary-learning gcc gcc-nmf generalized-cross-correlation ipython-notebook low-latency machine-learning nmf real-time real-time-processing speaker speech speech-enhancement speech-processing speech-separation tdoa unsupervised-machine-learning
Last synced: 07 Apr 2025
https://github.com/genular/simon-frontend
PANDORA :computer:
bioinformatics biomarkers clinical-data clustering data-integration data-mining data-science data-visualization drug-discovery genomic-data-analysis machine-learning microbiome pandora predictive-analytics systems-biology transcriptomics tsne umap unsupervised-machine-learning
Last synced: 23 Jan 2025
https://github.com/genular/pandora
PANDORA - Predictive Analytics aNd Data Oriented Research Applications :computer:
bioinformatics biomarkers clinical-data clustering data-integration data-mining data-science data-visualization drug-discovery genomic-data-analysis machine-learning microbiome pandora predictive-analytics systems-biology transcriptomics tsne umap unsupervised-machine-learning
Last synced: 03 Apr 2025
https://github.com/naver/tldr
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
dimensionality-reduction manifold-learning pytorch-implementation unsupervised-machine-learning
Last synced: 14 Apr 2025
https://github.com/soypat/mu8
Genetic algorithm for unsupervised machine learning in Go.
algorithm evolutionary-algorithm genetic-algorithm genetic-algorithms go go-generics golang golang-generics island-model machine-learning optimization optimization-algorithms unsupervised-machine-learning
Last synced: 16 Mar 2025
https://github.com/nla-group/classix
Fast and explainable clustering in Python
algorithm classification clustering cython data-analysis data-mining data-science machine-learning unsupervised-learning unsupervised-machine-learning visualization
Last synced: 08 May 2025
https://github.com/yaricom/goneat
The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
artificial-neural-networks augmenting-topologies neat neural-network neuroevolution reinforcement-learning reinforcement-learning-algorithms unsupervised-learning unsupervised-machine-learning
Last synced: 06 Apr 2025
https://github.com/slalit360/data-science-ml-cheat-sheet-books-oreilly-
Data Science + ML Cheat Sheet collection by me
bokeh cheat-sheets machine-learning-algorithms matplotlib numpy pandas python scipy seaborn supervised-learning unsupervised-machine-learning
Last synced: 13 May 2025
https://github.com/alexeyev/abae-pytorch
PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
aspect-extraction autoencoder nlp pytorch pytorch-implementation topic-modeling unsupervised-machine-learning
Last synced: 26 Apr 2025
https://github.com/ziatdinovmax/pyroved
Invariant representation learning from imaging and spectral data
encoder-decoder-model image-data probabilistic-programming pyro rotation-invariant scale-invariance semi-supervised-learning semi-supervised-vae spectral-data translation-invariant unsupervised-machine-learning vae variational-autoencoder
Last synced: 14 Apr 2025
https://github.com/benedekrozemberczki/nmfadmm
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
admm beta-divergence deepwalk embedding factorization feature-extraction lda matrix-factorization nmf node2vec optimization pca principal-component-analysis principal-components sparse-matrix topic-modeling unsupervised-learning unsupervised-machine-learning word-embedding word2vec
Last synced: 11 Apr 2025
https://github.com/yaricom/goneat_ns
This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
artificial-neural-networks augmenting-topologies explainable-ai explainable-artificial-intelligence golang modular-ai neat neuroevolution novelty-search reinforcement-learning-algorithms unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning
Last synced: 05 Apr 2025
https://imatge-upc.github.io/unsupervised-2017-cvprw/
Disentangling Motion, Foreground and Background Features in Videos
deep-learning unsupervised-machine-learning video-processing
Last synced: 10 May 2025
https://github.com/SmartTensors/GeoThermalCloud.jl
Geothermal Cloud for Machine Learning
geothermal julia machine-learning unsupervised-machine-learning
Last synced: 07 May 2025
https://github.com/malcolmgreaves/auto-gfqg
Automatic Gap-Fill Question Generation
natural-language-processing natural-language-understanding quiz-generator scala topic-modeling unsupervised-machine-learning
Last synced: 18 Jun 2025
https://github.com/fabiangroeger96/deep-embedded-music
Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks
audio contrastive-learning embedding-models embeddings music music-information-retrieval tensorflow tensorflow2 tile2vec triplet-loss unsupervised-learning unsupervised-machine-learning
Last synced: 09 May 2025
https://github.com/yaricom/goeshyperneat
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.
artifical-neural-network explainable-artificial-intelligence golang hyperneat modular-ai neat neuroevolution reinforcement-learning unsupervised-learning-algorithms unsupervised-machine-learning
Last synced: 05 Apr 2025
https://github.com/ikergarcia1996/questionclustering
Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY
clustering crawler deep-learning inteligencia-artificial machine-learning natural-language-processing nlp pln sentiment-analysis techonology unsupervised-machine-learning word-embeddings
Last synced: 23 Jan 2025
https://github.com/kk7nc/3d-object-detection
Weighted Unsupervised Learning for 3D Object Detection
clustering kinect machine-learning object-detection unsupervised-machine-learning
Last synced: 06 May 2025
https://github.com/harshjuly12/customer-segmentation-using-k-means-clustering
Repository for customer segmentation using KMeans clustering, utilizing techniques for data analysis and cluster identification. Includes dataset from Kaggle and open-source tools.
aiml kmeans-clustering unsupervised-machine-learning
Last synced: 11 Jan 2025
https://github.com/tsg405/applied-machine-learning-in-python
This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]
applied-machine-learning assignment classification coursera data-science fruit-dataset machine-learning matplotlib-pyplot numpy pandas python quiz regression scikit-learn scipy seaborn supervised-machine-learning university-of-michigan unsupervised-machine-learning
Last synced: 14 Apr 2025
https://github.com/AVoss84/bayes-anomaly
A Python library for explainable Bayesian Anomaly Detection
anomaly-detection bayesian-inference explainability unsupervised-machine-learning
Last synced: 12 Apr 2025
https://github.com/avoss84/bayes-anomaly
A Python library for explainable Bayesian Anomaly Detection
anomaly-detection bayesian-inference explainability unsupervised-machine-learning
Last synced: 10 Apr 2025
https://github.com/icanerdogan/machine-learning-tutorial
All Classification, Regression, Unsupervised Learning Algorithms
artificial-intelligence classification-algorithm machine-learning machine-learning-algorithms regression-algorithms unsupervised-learning unsupervised-machine-learning
Last synced: 28 Apr 2025
https://github.com/code2k13/clustrlab2k13
A python based tool for clustering text , CSV and logs.
clustering-algorithm nlp-machine-learning tsne-visualization unsupervised-machine-learning visualization
Last synced: 06 May 2025
https://github.com/sayamalt/bank-customer-segmentation
Successfully established a clustering model which can categorize the customers of a renowned Indian bank into several distinct groups, based on their behavior patterns and demographic details.
agglomerative-clustering clustering data-visualization dbscan-clustering exploratory-data-analysis feature-engineering kmeans-clustering model-optimization spectral-clustering unsupervised-machine-learning
Last synced: 28 Dec 2024
https://github.com/sinatabakhi/magentomics
[EMBC 2022] Multi-agent Feature Selection for Integrative Multi-omics Analysis
ant-colony-optimization dimensionality-reduction feature-selection multi-agent-systems multi-omics ovarian-cancer unsupervised-machine-learning
Last synced: 11 Feb 2025
https://github.com/juzershakir/creating-customer-segments
Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.
classification customer-segments data-exploration data-visualization feature-selection gaussian-mixture-models k-means-clustering machine-learning-nanodegree machine-learning-tutorials matplotlib numpy pandas pca python scikit-learn seaborn silhouette udacity unsupervised-learning unsupervised-machine-learning
Last synced: 07 Feb 2025
https://github.com/lpapailiou/neuralnetwork
A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.
ai configurable flexible genetic-algorithm java java-8 library machine-learning machine-learning-algorithm maven maven-library maven-repository neural-nets neural-network reinforcement-learning supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 12 Apr 2025
https://github.com/zcebeci/fcvalid
Internal Validity Indexes for Fuzzy and Possibilistic Clustering
cluster-analysis clustering clustering-analysis clustering-benchmarks clustering-evaluation clustering-validation fcm fuzzy-clustering-analyses fuzzy-cmeans-clustering fuzzy-internal-indexes fuzzy-possibilistic-cmeans number-of-clusters pcm possibilistic-clustering-algorithms unsupervised-clustering unsupervised-learning unsupervised-machine-learning validate validation validity-indices
Last synced: 12 Jun 2025
https://github.com/sanikamal/gan-diffusion-atoz
Generative Adversarial Networks in Pytorch and Tensorflow
deep-learning gan generative-model pytorch rbm tensorflow unsupervised-machine-learning vae
Last synced: 05 May 2025
https://github.com/karan-malik/restrictedboltzmannmachine
Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.
artificial-intelligence artificial-neural-networks boltzmann-machines deep-learning deep-learning-algorithms deep-neural-networks numpy numpy-neural-network python python3 pytorch pytorch-implementation restricted-boltzmann-machine torch unsupervised-deep-learning unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning
Last synced: 04 Mar 2025
https://github.com/mohamedsebaie/algorithm-workshop-in_python-iti_clustering_project
Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)
algorithm algorithms clustering dbscan dbscan-algorithm dbscan-clustering dbscan-clustering-algorithm dbscan-clusters kmeans kmeans-algorithm kmeans-clustering kmeans-clustering-algorithm kmeansclustering machine-learning-algorithms meanshift meanshift-clustering python unsupervised-clustering unsupervised-learning-algorithms unsupervised-machine-learning
Last synced: 14 Mar 2025
https://github.com/chhavi-trivedi/prediction-using-unsupervised-ml
K-means clustering of iris dataset with visualization.
datascience k-means-clustering machine-learning python unsupervised-machine-learning
Last synced: 26 Feb 2025
https://github.com/dachosen1/frameworks-final-project
Analyzing ratings and reviews for restaurants across 31 European cities
latent-semantic-analysis nlp-machine-learning presentation recommender-system restaurants shiny-apps travel tripadvisor unsupervised-machine-learning
Last synced: 20 Apr 2025
https://github.com/n-elmer/chat-summarizer
CHAT 🗣️ SUMMARY 📈 ANALYSIS
artificial-intelligence chart-plotting csv-generation json-mining keyword-extraction latent-dirichlet-allocation machine-learning pdf-generation python streamlit text-mining text-parsing tfidf-text-analysis topic-modeling unsupervised-machine-learning vectorization webapplication
Last synced: 13 May 2025
https://github.com/syamkakarla98/machine_learning_course
This course covers the explanation and examples on supervised and unsupervised algorithms.
algorithm hacktoberfest hacktoberfest2019 jupyter-notebook machine-learning matplotlib neural-network numpy pandas python python3 scikit-learn scipy seaborn supervised-machine-learning tensorflow tutorial unsupervised-machine-learning
Last synced: 01 Mar 2025
https://github.com/shogunbanik18/custoseg
Custoseg is an algorithmic Marketing based Project to do Customer Segmentation using KMean Clustering Algorithm and targeted Recommendations based on each segment
data-science kmeans-clustering-algorithm machine-learning unsupervised-machine-learning
Last synced: 02 Mar 2025
https://github.com/txtasad/ascii-image-art
Python library for converting images into ASCII character strings and ASCII character colored images.
ai artificial-intelligence ascii ascii-art ascii-art-generator ascii-converter ascii-graphics ascii-image-converter clustering machine machine-learning machinelearning python python3 unsupervised-machine-learning
Last synced: 04 Dec 2024
https://github.com/huseyincenik/machine_learning
classification cross-validation decision-tree decision-trees gridsearchcv knn knn-classification linear-regression linearregression logistic-regression machine-learning machine-learning-algorithms machine-learning-library machinelearning machinelearning-python random-forest randomforest regression regression-models unsupervised-machine-learning
Last synced: 24 Mar 2025
https://github.com/neelsoumya/visualization_lecture
visualization lecture
data-science teaching-materials unsupervised-machine-learning
Last synced: 25 Feb 2025
https://github.com/mahmoud-elghonemy/prediction-using-unsupervised-ml
from the given "iris" dataset predict the optimum number of clusters and represent it visually
clustering elbow-method kmeans-clustering unsupervised-clustering unsupervised-machine-learning
Last synced: 15 May 2025
https://github.com/snikumbh/seqarchr
seqArchR: Identifying (promoter) sequence architectures de novo using NMF
clustering nmf nonnegative-matrix-factorization promoter-sequence-architectures r r-package scikit-learn sequence-analysis sequence-architectures unsupervised-machine-learning
Last synced: 19 Jun 2025
https://github.com/phenomsg/ml-notebook
This project is designed for personal learning and exploration of fundamental machine learning concepts.
decision-trees linear-regression logistic-regression machine-learning model-evaluation-metrics neural-network opencv pandas python3 recommendation-system sckit-learn supervised-machine-learning tensorflow2 unsupervised-machine-learning
Last synced: 24 Mar 2025
https://github.com/glencrawford/bank_transaction_unsupervised_clustering
Classifying bank transactions with unsupervised k-prototypes clustering.
clustering k-means k-modes k-prototypes machine-learning python unsupervised-machine-learning
Last synced: 21 Jun 2025
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 05 Mar 2025
https://github.com/raj-pulapakura/basketball-players-analysis
This repo features an analysis on various basketball players, using unsupervised learning techniques.
basketball clustering coursera data-science exploratory-data-analysis machine-learning pca-analysis unsupervised-machine-learning
Last synced: 24 Feb 2025
https://github.com/canayter/unsupervised-machine-learning
Utilizing Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
k-means-clustering python scikit-learn unsupervised-machine-learning
Last synced: 26 Feb 2025
https://github.com/aprimadi/product-clustering
Product clustering system
clustering python unsupervised-machine-learning
Last synced: 25 Apr 2025
https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning
Last synced: 04 Mar 2025
https://github.com/ankushmallick1100/task-2-the-sparks-foundation-data-science-and-business-analytics-internship
Task 02: Clustering using Unsupervised Machine Learning
clustering data-science internship internship-task jupyter k-means k-means-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 sklearn thesparksfoundation thesparksfoundationinternship tsf unsupervised-learning unsupervised-machine-learning
Last synced: 12 Mar 2025
https://github.com/cintia0528/data_science-unsupervised_machine_learning
I aim to automate playlist creation for Moosic, a startup known for manual curation, using Machine Learning, while addressing skepticism about the ability of audio features to capture playlist "mood."
data data-preprocessing data-scaling data-science data-visualization datacleaning elbow-method kclustering machine-learning pandas python silhouette-score unsupervised-machine-learning
Last synced: 31 Mar 2025
https://github.com/aditya-modi20/unsupervsied_learning
repository for the unsupervised learning university project
iubh machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 27 Mar 2025
https://github.com/nullhawk/k-means
Implementation of K-means algorithm from scratch with adaptive distance metrics
machine-learning python unsupervised-machine-learning
Last synced: 15 Mar 2025
https://github.com/diestok/basic-machine-learning-for-bioinformatics
ML course materials for bioinformatics students following the Basic Machine Learning for Bioinformatics course at Utrecht University. Course created and taught by Dieter Stoker.
course jupyter-notebook machine-learning python supervised-machine-learning unsupervised-machine-learning
Last synced: 18 Mar 2025
https://github.com/zenklinov/clustering_k-means_metrics_pca
Comparing Euclidean Distance, Manhattan Distance, Cosine Distance, with PCA in K-Means Clustering
cluster kmeans-clustering metrics pca unsupervised-machine-learning
Last synced: 01 Mar 2025
https://github.com/tanyakuznetsova/image-restoration-with-gibbs-sampler
Reconstructing a black and white Japanese woodblock print using Bayesian inference
bayesian-inference gibbs-sampler gibbs-sampling gibbs-sampling-algorithm image-denoising image-processing unsupervised-learning unsupervised-machine-learning
Last synced: 11 Mar 2025
https://github.com/tanyakuznetsova/word-embeddings-on-brown-corpus
This notebook explores how clustering semantically similar words can help make Natural Language Processing tasks easier.
brown-corpus cluster-analysis nlp nlp-machine-learning unsupervised-machine-learning word-embeddings
Last synced: 11 Mar 2025
https://github.com/zenklinov/pca
PCA is a statistical technique for reducing the dimensionality of a dataset
dimensionality-reduction pca unsupervised-machine-learning
Last synced: 01 Mar 2025
https://github.com/sushantdhumak/creating-customer-segments
Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor
biplot clustering data-exploration data-preprocessing data-visualization dimensionality-reduction feature-scaling feature-transformation gaussian-mixture-models iqr log-transformation outlier-detection principal-component-analysis seaborn unsupervised-machine-learning
Last synced: 26 Mar 2025
https://github.com/007tickooayush/ml-unsupervised-netflix-clustering-recommendation-project
A machine learning pipeline project that uses unsupervised learning to cluster the movies and tv shows from the Netflix dataset and recommend the similar movies and tv shows based on the clustering.
colab-notebook machine-learning python unsupervised-machine-learning
Last synced: 26 Mar 2025
https://github.com/zara5961/cryptoclustering
This project applies unsupervised learning techniques to cluster cryptocurrencies. Using K-means clustering and Principal Component Analysis (PCA), the analysis identifies optimal cluster groups and visualizes results to uncover potential market patterns.
clustering jupyter-notebook kmeans-clustering pca unsupervised-learning unsupervised-machine-learning
Last synced: 17 Mar 2025
https://github.com/aml-hassan-abd-el-hamid/articles-clustring
unsupervised NLP project that build to be used in clustering articles.
clustering gensim-library machine-learning nlp sklearn unsupervised-machine-learning
Last synced: 03 Apr 2025
https://github.com/priyanshu501/customer_segmentation_for_targeted_marketing
Analysis of customer information to identify potential segments for targeted marketing campaigns using various clustering techniques.
clustering customer-segmentation dbscan-clustering exploratory-data-analysis hierarchical-clustering jupyter-notebook k-means-clustering machine-learning python sklearn unsupervised-machine-learning
Last synced: 18 Mar 2025
https://github.com/ansh2709/customer-segmentation-ml-project
Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning
clustering-algorithm k-means-clustering machine-learning matplotlib-pyplot numpy pandas python unsupervised-machine-learning wcss
Last synced: 20 Mar 2025
https://github.com/crispengari/ml-2023
💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.
classification clustering-algorithm decision-tree-classifier kmeans-clustering knn-classifier python random-forest-classifier sklearn supervised-machine-learning svm-classifier unsupervised-machine-learning
Last synced: 03 Apr 2025
https://github.com/kaustubholpadkar/k-means_clustering-simulation
Simulation of K-means Clustering algorithm using P5.JS
cluster-centroids clustering-algorithm interactive-visualizations javascript-library kmeans-clustering-simulation machine-learning p5-sketches p5js simulation unsupervised-machine-learning
Last synced: 04 Apr 2025
https://github.com/eudesgccunha/ecommerce-rfm-clustering
Customer clustering from RFM results for an e-commerce.
clustering rfm-analysis unsupervised-machine-learning
Last synced: 04 Apr 2025
https://github.com/daniel-elston/k-means-clustering-algorithm
Creation and implementation of k-means unsupervised machine learning algorithm, used to classify Iris species (Iris dataset).
artificial-intelligence classification clustering data-science deep-learning iris-classification k-means-clustering machine-learning machine-learning-algorithms python unsupervised-machine-learning
Last synced: 04 Apr 2025
https://github.com/ar-version2/intelligent-sap-financial-integrity-monitor
Intelligent SAP Financial Integrity Monitor (POC): Hybrid AI/ML (IF, LOF, AE) & rules-based anomaly detection on SAP FAGLFLEXA data using Python/Streamlit
anomaly-detection anomaly-detection-algorithm autoencoders btp dashboard fico finance-application fiori keras-tensorflow machine-learning-algorithms odata python sap sap-btp streamlit streamlit-dashboard unsupervised-machine-learning
Last synced: 07 May 2025
https://github.com/leftcoastnerdgirl/unsupervised_learning
This project is the first step in machine learning, using K Means and Principal Component Analysis.
kmeans-clustering pca pca-analysis principal-component-analysis unsupervised-learning unsupervised-machine-learning
Last synced: 18 Jun 2025
https://github.com/dzin888s/credit-engine
Credit-Engine is a lightweight API that issues and tracks "thank-you" credits for various interactions within an ecosystem. Built with Node.js, Express, and TypeScript, it emphasizes scalability and maintainability while offering features like credit issuance, action type management, and Docker support. 🐙💻
api backend creditengine dijango elbow-plot exploratory-data-analysis express game godot logging logistic-regression rest-api scorecard scroll typescript unsupervised-machine-learning vercel winston
Last synced: 21 Jun 2025
https://github.com/manuel-lang/data-driven-learning-of-clustering-algorithms-for-image-data
Data-Driven Learning of Clustering Algorithms for Image Data (Master's thesis in collaboration with CMU and KIT)
carnegie-mellon-university clustering karlsruhe-institute-of-technology unsupervised-machine-learning
Last synced: 23 Jun 2025
https://github.com/billel-abbas/categorisez-automatiquement-des-questions
Projet de NLP pour la suggestion de tags sur Stack Overflow. Comparaison de modèles supervisés (Logistic Regression, SGD, SVM, XGBoost) et non supervisés (LDA, NMF). Implémentation finale dans une API Streamlit déployée sur Streamlit Cloud
aws lda machine-learning mlflow nlp pytest python streamlit-webapp supervised-learning unsupervised-machine-learning xgboost
Last synced: 28 Mar 2025
https://github.com/1adityakadam/footwear-classification-with-machine-learning
This Machine Learning project uses K-means clustering and Expectation-Maximization (EM) algorithms to classify footwear types from the Footwear Kaggle dataset. Key features include image preprocessing, dimensionality reduction, and result visualization. The project explores unsupervised learning for footwear classification.
estimation-maximization-algorithm kmeans-clustering machine-learning unsupervised-machine-learning
Last synced: 05 Apr 2025
https://github.com/msikorski93/sentinel-2-image-clustering
Image clustering with k-means approach.
clustering gis google-earth-engine k-means-clustering remote-sensing satellite-imagery scikit-learn sentinel-2 unsupervised-machine-learning
Last synced: 05 Apr 2025
https://github.com/karan-malik/self-organizing-maps
Python implementation of the unsupervised Deep Learning Algorithm SOM
deep-learning deep-neural-networks deeplearning dimensionality-reduction python python3 self-organizing-map som unsupervised-deep-learning unsupervised-learning unsupervised-machine-learning
Last synced: 04 Mar 2025
https://github.com/cyprianfusi/credit-card-customer-segmentation-using-k-means-algorithm
You are a data scientist working for a credit card company. You're asked to help segment a dataset containing information about the company’s clients into different groups to enable the company to apply different business strategies for each type of customer.
customer-segmentation kmeans-clustering pandas-python unsupervised-machine-learning
Last synced: 21 Mar 2025
https://github.com/macabdul9/image-segmentation
image segmentation using K-means and K-means++ algorithm.
image-processing k-means-clustering kmeans-algorithm machine-learning-algorithms unsupervised-machine-learning
Last synced: 05 Apr 2025
https://github.com/annaanastasy/clustering-fish-species
A comprehensive project demonstrating the use of various clustering techniques to analyze and group fish data effectively.
clustering-algorithm data-science data-visualization machine-learning-algorithms unsupervised-clustering unsupervised-machine-learning
Last synced: 05 Apr 2025
https://github.com/bishopce16/cryptocurrencies
An analysis on cryptocurrencies dataset using unsupervised machine learning, PCA algorithm, and K-means clustering.
hvplot jupyter-notebook pandas plotly python scikit-learn unsupervised-machine-learning visual-studio-code
Last synced: 24 Feb 2025
https://github.com/rakibhhridoy/customersegmentation-clustering
Customer segmentation heavily use in business purpose. It is needed skill for business intelligence and applied machine learning engineer. This represent quite basic way the customer segmentation is done. In python the task is quite easy to do.
agglomerative-clustering clustering-algorithm customer ecommerce kmeans-clustering machine-learning scikit-learn scikitlearn-machine-learning segmentation unsupervised-learning unsupervised-machine-learning
Last synced: 14 May 2025
https://github.com/farazkh80/customer-segmentation
An unsupervised clustering model using k-means clustering to segment customers in different clusters(categories).
customer-segmentation kmeans-clustering unsupervised-machine-learning
Last synced: 13 Apr 2025
https://github.com/itskshitija/diamond-price-prediction-project
The primary goal of this project is to create a machine-learning model capable of predicting diamond prices. The dataset includes various diamond characteristics, and multiple regression models are trained and evaluated to select the best one based on the R² score.
decision-tree-classifier ml prediction-model price-prediction supervised-machine-learning unsupervised-machine-learning
Last synced: 29 Apr 2025
https://github.com/philiptitus/book-recommendation
Recommender system using collaborative filtering algorithm for recommnding books to read
adam-optimizer bookrecommendsystem collaborative-filtering recommender-system unsupervised-machine-learning
Last synced: 29 Mar 2025
https://github.com/somenath203/clustering-news-unsupervised-machine-learning
Click the link below to checkout the swagger docs of the project
agglomerative-clustering cluster fake-news-detection kmeans kmedoids machine-learning news render unsupervised-machine-learning
Last synced: 14 Mar 2025
https://github.com/uday160386/understanding-gen-ai-ml
repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics
ai-ml azure-ai cnn-classification deeplearning-ai keras-tensorflow machine-learning-algorithms neural-network python rag supervised-machine-learning tensorflow2 unsupervised-machine-learning
Last synced: 03 Mar 2025
https://github.com/shivabajelan/cryptoclustering
This project applies K-means algorithm to group cryptocurrencies based on 24-hour and 7-day price changes. It also investigates the impact of dimensionality reduction using PCA on clustering outcomes.
clustering kmeans-clustering-algorithm pca-analysis python unsupervised-machine-learning
Last synced: 05 Mar 2025
https://github.com/kmohamedalie/clustering-algorithms
unsupervised machine learning with clustering algorithms
dbscan hierarchical-clustering kmeans-clustering unsupervised-machine-learning
Last synced: 22 Feb 2025
https://github.com/javorraca/unsupervised-ml
A short exercise using R to perform unsupervised machine learning (clustering) on a sample data set.
ade4 clustering clustering-algorithm clustering-analysis data-analysis data-analytics data-science dplyr jupyter k-means-clustering machine-learning machinelearning ml r r-programming sse unsupervised-machine-learning
Last synced: 05 Apr 2025
https://github.com/mnlscn/unsupervised-learning-project
Unsupervised machine learning project - developed in R
business clustering eda pca r unsupervised-machine-learning
Last synced: 05 Apr 2025
https://github.com/avisionh/detect-anomalouspupildestination
Applies unsupervised anomaly detection techniques to spot outlier observations for pupil destinations.
anomaly-detection isolation-forest unsupervised-machine-learning
Last synced: 22 Mar 2025
https://github.com/bala-1409/loan-clustering-datascience-projects
This project uses Machine Learning to Cluster loan together based on their similarities. The project uses a dataeset of loan application which includes information about the Loan amount and Balance. The project then use the clustering algorithm to group the loan together based on the similarities.
clustering clustering-algorithm data-analysis data-science data-visualization kmeans-clustering machine-learning machine-learning-algorithms sql unsupervised-learning unsupervised-machine-learning
Last synced: 22 Mar 2025
https://github.com/poacosta/esesa-notebooks-1er-trimestre
ESESA Notebooks - Primer Trimestre
bert-model convolutional-neural-networks deep-learning k-means-clustering machine-learning recurrent-neural-networks unsupervised-machine-learning
Last synced: 07 Apr 2025
