Topic: "unsupervised-clustering"
wq2012/SpectralCluster
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
Language: Python - Size: 1.81 MB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 529 - Forks: 72

MouseLand/rastermap
a visualization method for neural data
Language: Python - Size: 70.5 MB - Last synced at: 14 days ago - Pushed at: 17 days ago - Stars: 216 - Forks: 49

janghyuncho/PiCIE
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)
Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 188 - Forks: 34

mcychan/nQuantCpp
nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.
Language: C++ - Size: 2.15 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 110 - Forks: 9

erdogant/clusteval
Clusteval provides methods for unsupervised cluster validation
Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 58 - Forks: 8

CarsonScott/HSOM
Hierarchical self-organizing maps for unsupervised pattern recognition
Language: Python - Size: 174 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 54 - Forks: 10

TheDatumOrg/kshape-matlab
Matlab implementation for k-Shape
Language: MATLAB - Size: 451 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 50 - Forks: 45

HongJea-Park/robust_EM_for_gmm
MS Yang, A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognit., 45 (2012), pp. 3950-3961
Language: Python - Size: 10.6 MB - Last synced at: 9 days ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 4

orrorcol/soinn
SOINN / 聚类 / 无监督聚类 / 快速 / clustering / unsupervised clustering / fast
Language: C++ - Size: 1.05 MB - Last synced at: 12 days ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 1

GoGoDuck912/pytorch-vector-quantization
A Pytorch Implementations for Various Vector Quantization Methods
Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 5

mlbio-epfl/hume
[NeurIPS 2023 Spotlight] The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
Language: Python - Size: 250 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

Stuart-D-King/homer_segmentation
Customer segmentation using k-modes unsupervised clustering
Language: HTML - Size: 20.5 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 5

mthiboust/somap
A flexible, fast and scalable python library for Self-Organizing Maps
Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: 8 months ago - Pushed at: 12 months ago - Stars: 9 - Forks: 0

AjinkyaGhadge/PCA-from-scratch-in-Python
An implementation of Principal Component Analysis for MNIST dataset, and visualization
Language: Jupyter Notebook - Size: 5.01 MB - Last synced at: 8 months ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 4

gsarti/cancer-detection
Team Capybara final project "Histopathologic Cancer Detection" for the Statistical Machine Learning course @ University of Trieste
Language: Jupyter Notebook - Size: 76.1 MB - Last synced at: 21 days ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 4

zyuan-astro/StarGO-OC
Apply a clustering tool based on self-organizing-map to identify open clusters
Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 3

NikhilGupta1997/Data-Mining-Algorithms
A generic library created to perform unsupervised clustering and frequent subgraph mining
Language: C++ - Size: 4.69 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 0

mcychan/nQuantGpp
nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.
Language: C++ - Size: 633 KB - Last synced at: about 13 hours ago - Pushed at: about 15 hours ago - Stars: 7 - Forks: 1

creinders/ClusteringAlgorithmsFromScratch
Clustering algorithms (Mean shift and K-Means) from scratch in NumPy, PyTorch, TensorFlow, and JAX
Language: Python - Size: 4.91 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

mohammadhashemii/Web-Crawler-Detection
Web Crawler Detection using Unsupervised Algorithms
Language: Jupyter Notebook - Size: 65.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

janelleszary/intuiShop
Short project completed at Insight Data Science as part of a consulting project with an e-commerce fashion company. Uses neural networks to embed text and images into high-d feature space in order to perform classification, and new-cluster discovery. Also prototypes an idea for recommendations.
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 2

anshul1004/TweetsClustering
Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric
Language: Python - Size: 3.32 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 4

erayyildiz/PersonalizedPageRankForCategorization
Unsupervised categorization of customer reviews into aspect categories using Personalized Page Rank
Language: Jupyter Notebook - Size: 25.5 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 0

tony-coder/2020-FC-Unsupervised-Classification-System-for-FintechEnterprises
e企查 | 金融科技服务平台企业数据的无监督分类系统-2020年第十一届中国大学生服务外包创新创业大赛A10赛题
Language: Python - Size: 113 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 5

SaumyaBhandari/ThePathfinder
A Computer Vision Based Navigation System which uses Differentiable Feature Clustering to Segment the road. And uses different ROI based methods to figure out road, and detect obstacles in it and provides any kind of self driving system to either go ahead or stop.
Language: Python - Size: 2.01 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 0

AAndonio/Unsupervised-Feature-Selection-NDFS
Unsupervised Feature Selection NDFS is a project that shows how to select features with NDFS algorithm
Language: Python - Size: 66.4 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 0

RoryQo/Country-Needs-Assessment-for-Humanitarian-Aid-Challenge
Categorize the countries using Partitioning and K-mean clustering with socio-economic and health factors that determine the overall development of the country. Then we can suggest the countries which HELP (international humanitarian Non-Governmental Organization) needs to focus on the most.
Language: R - Size: 1.21 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

DaniJonesOcean/GMM_example
Demo: how to apply Gaussian mixture modelling to Argo float data
Language: Jupyter Notebook - Size: 6.71 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 2

charmichokshi/Unsupervised-Image-Segmentation-Algorithms
Language: Python - Size: 1.29 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 2

baggepinnen/AudioClustering.jl
Utilities for clustering of audio samples
Language: Julia - Size: 302 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

ShengyuH/cluster-by-fast-find-and-search-of-density-peaks
Language: MATLAB - Size: 8.79 KB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

zcebeci/fcvalid
Internal Validity Indexes for Fuzzy and Possibilistic Clustering
Language: R - Size: 157 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

benjdiasaad/MapReduce_K-means
Implémentation de l'algorithme de clustering k-means en utilisant le framework Hadoop version 3.1.3 (MapReduce).
Language: Java - Size: 32.2 KB - Last synced at: 19 days ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

ragibson/CUDA-k-means
An implementation of Lloyd's algorithm for data clustering on GPUs and computational accelerators.
Language: TeX - Size: 1.15 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

RoryQo/Happiest-Countries
Categorize the countries using Partitioning and K-mean clustering with the 2018 happiness survey that determines the overall happiness of the country. Then we can see the true happiest countries.
Language: R - Size: 315 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

faahrin/UKESM1_Ozone_clustering
Ozone profile clustering code for UKESM1
Language: Jupyter Notebook - Size: 223 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

VetlaPavanKalyan/Unsupervised-Learning
This project is done by me.
Language: Jupyter Notebook - Size: 40 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project
Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)
Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

xxl4tomxu98/Big5-kmeans-clustering
Kmeans clustering algorithm is unsupervised machine learning library that can divide this large 2018 dataset of over 1 million rows of answers from survey that answers 50 questions with level 1 through 5 on Big 5 personality traits. Predicted raw score is further normalized to show percentiles of relative importance.
Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

ActiveMargins/ProductionMapping
Mapping production curves with unsupervised classification of time series curves
Language: HTML - Size: 261 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

ukdsvl/GUML_IEEETAI20
Repository for our paper Graph-based Unsupervised Metric Learning
Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

Ayantika22/LDA-Linear-discriminant-Analysis-for-Wine-Dataset
LDA(Linear discriminant Analysis) for Wine Dataset in machine learning
Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

Ayantika22/PCA-Iris-Clustering-Visualization
Principle Component Analysis Clustering Visualization for Iris dataset
Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

vicky60629/Segmentation-of-Credit-Card-Customers
Segmentation of Credit Card Customers
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

dmitrykazhdan/Multi-Modal-Training-Data-Creation-with-Snorkel
Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

prakharchoudhary/cluster-mania
Exploring the domain of Unsupervised learning via Clustering.
Language: Jupyter Notebook - Size: 361 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

jiko23/JAYANTA_-techgig-
Keyword/entity/phrases identification & a possible approach to map to categories
Language: Python - Size: 189 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

XinaiLU/Text-Clustering-in-Chinese-Demo
A small academic competition on an interdisciplinary track, the goal is to classify agricultural bloggers on a short video platform based on data crawled.
Size: 14.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Frank-Deng-WH6HS/Geospatial_Artif_Intell_S110056
中国地质大学(武汉)地理信息工程学院开设的一门选修课。An optional curriculum held by School of GI Engineering, CUG
Language: Mathematica - Size: 275 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

K-RLange/Lex2Sent
Lex2Sent package for unsupervised text classification/clustering
Language: Python - Size: 55.7 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

abhi227070/Customer-Segmentation-Using-KMeans
Utilizing KMeans clustering, this project segments customers for targeted marketing and analysis. Developed on Google Colab, it imports datasets from Kaggle, performs data analysis, preprocessing, and model building, providing actionable insights for businesses.
Language: Jupyter Notebook - Size: 82 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

OSCGRA/my-workcation-path
"GitHub project for finding campgrounds and remote workspaces. Discover, organize, and enhance your mobile experience!"
Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

takwan/Func-connectivity-based-parcellation
Unsupervised clustering of globus pallidus and striato-thalamic regions
Language: MATLAB - Size: 21.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

AndreaMariani-AM/Unsupervised_clustering_eval
Some functions to evaluate Unsupervised Clustering for Single Cell RNAseq
Language: R - Size: 77.1 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

ndgigliotti/cluster-optimizer
A GridSearchCV-like hyperparameter optimizer for clustering (no cross-validation).
Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

fereol023/Metaheuristics-for-variable-selection-UL
Algorithmes de selection de variables pour préparer un apprentissage non supervisé. La version finale du programme est sélectionne les prédicteurs les plus pertinents en effectuant un apprentissage à chaque génération. La métrique optimisée (dans le cadre du dataset utilisé) est l'accuracy. Nous avons testé les deux métaheuristiques sur un dataset de 1551 variables. || Two variable selection algorithms to prepare unsupervised learning. The final version of the program selects the variables by performing a learning at each generation. The optimized metric (in the context of the dataset used) is the accuracy rate.
Language: Python - Size: 760 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

mahmoud-elghonemy/Prediction-using-Unsupervised-ML
from the given "iris" dataset predict the optimum number of clusters and represent it visually
Language: Jupyter Notebook - Size: 172 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

simonEllershaw/Unsupervised_medical_BERT
NLP experiments comparing unsupervised and supervised BERT finetuning approaches on medical data.
Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

praatibhsurana/Unsupervised-Topic-Modeling
A project on unsupervised topic modeling of garage reviews.
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: 22 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

povstenko/clustering-mall-customers
💠 KMeans Unsupervised Clustering task with "Mall Customers"
Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

tabithaks/Capstone-GE-Asset-Tracking
Columbia University Data Science Master Capstone Project. The goal of this project was to cluster trajectories by shape for later optimization.
Language: Jupyter Notebook - Size: 8.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

martinoywa/statistics-and-ml-preposition-learning
Compare three language models, English as a native speaker (Egnlish-L1), Mandarin as a native language (Mandarin-L1), and Mandarin as native language with English as a second language (Mandarin-English-L2)
Language: Jupyter Notebook - Size: 7.14 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

rajtulluri/K-Means-Algorithm
A python code to implement the K-Means Algorithm on a starter dataset - Iris.
Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

ghadj/Kohonen-Neural-Network
Implementation of Kohonen neural network in java.
Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

mgmartinezl/Stalicla-Clustering
Project developed during my summer data science internship at STALICLA: Clustering algorithms to find similarities across patients with ASD
Language: R - Size: 3.21 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

brechmos/elodin-nn
Unsupervised image classification using feature vectors derived from ImageNet
Language: Python - Size: 79.1 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

PurpleDragonFlower/NYC-College-Taxi
Machine Learning Project using NYC Yellow Taxi Cab Dataset
Language: R - Size: 89.6 MB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

paulfoley/Udacity_Nanodegree-Machine_Learning
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
Language: HTML - Size: 19.7 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

alouchar/PhytoCytoTraits
Graphical User Interface to retrieve flow cytometry informations at the individual level.
Language: R - Size: 129 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Setia-Verma-Lab/endometriosis_subtyping
Code accompanying the manuscript: "Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records".
Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Rishitha2211/Customer-Segmentation-and-Predicting-Churn
clustering and classification techniques on e-commerce data.
Language: Python - Size: 20.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

aoluwolerotimi/Kickstarter-Project-Clustering
Descriptive analytics project using kprototypes to discover project profiles from a dataset of 15,000+ projects.
Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

KizMan-23/unsupervised_models
underlining patterns and relationship between data
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AnnaAnastasy/Clustering-Fish-Species
A comprehensive project demonstrating the use of various clustering techniques to analyze and group fish data effectively.
Language: Jupyter Notebook - Size: 624 KB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Jonkkeyler333/EDA_dengue
Project of data analytics
Language: HTML - Size: 2.83 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

beatricebs/CRISM-python-unsupervised-clustering
Perform unsupervised clustering on CRISM hyperspectral data
Language: Jupyter Notebook - Size: 9.38 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

GreshmaShaji/Customer-Segmentation-Clustering
Customer segmentation analysis using clustering techniques to optimize marketing strategies for a retail store.
Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ryandewolfe33/FuzzyClusteringSimilarity.jl
Code for Dirichlet Random Models for Fuzzy Rand Adjustment
Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Parita2442/OkCupid-NLP-and-Recommendation-Algorithm Fork of S-Gunjan/BA820-A1-OkCupid
The project aims to combat loneliness using OkCupid's dataset. Leveraging unsupervised ML techniques, it'll develop a recommendation algorithm to enhance profile matching based on compatibility, improving success rates in finding meaningful connections on the platform.
Language: Jupyter Notebook - Size: 33.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

iamluirio/unsupervised-learning-clustering
DBSCAN Clustering algorithm: Cosine Similarity metric.
Language: Jupyter Notebook - Size: 723 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

PiotrTymoszuk/clustTools
Comprehensive dimensionality reduction and cluster analysis toolset
Language: R - Size: 392 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ThatCoryGirl/unsupervised-ml-challenge
Python, unsupervised machine learning
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

01Vishwa/Customer-Segmentation
Prodigy-Mall Customer Segmentation
Language: Jupyter Notebook - Size: 330 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

singh-pawan/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-
About Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.
Language: Jupyter Notebook - Size: 4.37 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Wolverine-Shiva/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-
Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.
Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

amanraghuvanshi/Consumer-Purchase-Analysis
Customer Purchase Analysis
Language: Jupyter Notebook - Size: 842 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AjNavneet/E2E_CustomerSegmentation_PyCaret_Streamlit
We build end-to-end unsupervised solution for customer segmentation using PyCaret deploy the model using Streamlit.
Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RAGHAV-N5/UnsupervisedLearningTrading-SentimentData-GarchModel
This is a project which uses Data Science, Machine learning to predict the stock movements, minimize the risk and maximise gains of portfolio using fama-french factors and many other models.Also the sentiment towards stocks are also monitored using sentiment analysis. Garch Model is used to predict the volatility and movements for intraday trading.
Language: Jupyter Notebook - Size: 6.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

HeatherDriver/Unsupervised_Learning
In this project, I applied unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany.
Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ml4py/speclus4py
Spectral clustering implementation for distributed machine learning
Language: Python - Size: 82 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Adri-12-svg/ML
We have taken a dataset in which we studied the relationship between two independent variables and one dependent variable, after preprocessing, cleaning and finally filtering them to have better output with greater Efficiency.
Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vishal815/Silhouette-Coefficient-Calculation-and-Cluster-Diagram
Language: Jupyter Notebook - Size: 42 KB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

chinmaysharmacs10/The_Fashion_Capital
Repo for clustering model code submission of Flipkart Grid 2.0 Hackathon project
Language: Python - Size: 25.8 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

rushanmukherjee/Physiological-Activity-Tracker-using-Vitality-Signatures
We investigate how different physiological activities change our Heart Rate and SpO2 values and created a prototype for activity tracking.
Language: Python - Size: 606 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Davidsonity/GenderByVoice
Unsupervised Machine Learning Algorithm
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

khaors/KohonenF03
A fortran 2003 library for Self-Organizing Maps
Language: Fortran - Size: 359 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

Francode77/Unsupervised_HAR
Unsupervised learning for the detection of patterns in human activity sensor data
Language: Jupyter Notebook - Size: 9.28 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

grokhi/startMLapp
Modified fastapi microservice with scheduled A/B tests of base&enhanced catboost models (microservice based on final project of Start ML course at karpov.courses)
Language: Jupyter Notebook - Size: 269 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

cbrito3/Cryptocurrencies
Supervised Learning Recap
Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

jose-jaen/Multivariate-Analysis
Multivariate statistical techniques applied to automovile dataset.
Language: MATLAB - Size: 3.91 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
