GitHub topics: dbscan-clustering

Repositories

houhou21/dry_eye_disease-cluster-analysis

👁️ Analyze clustering methods to uncover subgroups in Dry Eye Disease patients, using health and lifestyle data for targeted insights and improved outcomes.

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Boykadakim/User-Clustering-with-BERT-Models

User Clustering Pipelines with BERT Models on Long and Heterogeneous Tweets - BSc Thesis

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

moon-hotel/MachineLearningWithMe

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈出品

Language: Jupyter Notebook - Size: 37.6 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 278 - Forks: 49

ivanseldas/Sentiment-Driven-Video-Recommendations

Personalized YouTube video recommendation system that leverages video content, user interactions, and sentiment analysis from comments to recommend relevant videos to users.

Language: Jupyter Notebook - Size: 356 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

kiannaquines/crowd-monitoring-app

Undergraduate Capstone Project Crowd Monitoring System That Utilized Artificial Intelligence Web Dashboard

Language: TypeScript - Size: 1.66 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 2 - Forks: 1

PacktWorkshops/The-Machine-Learning-Workshop

An interactive approach to understanding Machine Learning using scikit-learn

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PacktWorkshops/The-Unsupervised-Learning-Workshop

An Interactive Approach to Understanding Unsupervised Learning Algorithms

Language: Jupyter Notebook - Size: 114 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 29 - Forks: 33

eren-ck/st_dbscan

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

Language: Python - Size: 517 KB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 155 - Forks: 29

wangyiqiu/dbscan-python

Theoretically Efficient and Practical Parallel DBSCAN

Language: C++ - Size: 339 KB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 89 - Forks: 18

javiermerinom/dry_eye_disease-cluster-analysis

Unsupervised ML analysis of lifestyle data to uncover risk patterns for Dry Eye Disease

Size: 3.45 MB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

anish-lakkapragada/SeaLion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Language: Python - Size: 37.9 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 337 - Forks: 37

kumar-kiran-24/Mall-Customer-Segmentation

A project to segment customers by comparing clustering results with Rand Index, analyzing K-Means clusters, and interpreting segments with meaningful business insights.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 0

polat-47/customer-analytics-clustering

📊 Analyze customer data using clustering techniques like K-Means and DBSCAN to uncover insights and enhance targeted marketing strategies.

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

rafadhlillah13/SENADA2024-DBSCAN-Clustering-Muara-Enim

Dokumentasi proyek clustering DBSCAN Kepadatan Penduduk Muara Enim yang sebelumnya telah dipresentasikan di Seminar Nasional Sains Data 2024, UPN Veteran Jawa Timur

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Keremm26/spectral_clustering

MATLAB implementation of spectral clustering applied to geometric datasets (circle, spiral, sphere) with evaluation metrics and visualization.

Language: MATLAB - Size: 1.52 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

AmnaAmir1234/customer-analytics-clustering

Advanced customer segmentation analysis using K-Means and DBSCAN clustering algorithms. Comprehensive retail analytics with business insights, interactive visualizations, and actionable marketing strategies.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

MAbdelhamid2001/Advanced-Unsupervised-Learning

Applying many advanced unsupervised learning algorithms and techniques

Language: Jupyter Notebook - Size: 7.39 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

mojixcoder/dbscan

Implementation of DBSCAN clustering algorithm implementation in Go

Language: Go - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 2

filsan-musa/Project-NYPD_Shooting_Incident_Data_Report

The repository contains the code, and analysis for a report on NYPD Shooting Incident Data. The project explores spatial and temporal trends in gun violence across New York City boroughs using visualization, statistical and clustering techniques. Tools used include R, ggplot2, and DBSCAN for identifying crime hotspots and patterns.

Language: HTML - Size: 4.72 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

imeysam/DBSCAN

Implementation of DBSCAN clustering algorithm using Iris dataset.

Language: Python - Size: 12.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

Mohamed0Mohamed/KMeans-Clustering-Customer-Segmentation

KMeans-Clustering-Customer-Segmentation uses Python and Streamlit to analyze customer data through K-Means clustering. Discover insights and improve marketing strategies! 🌟📊

Language: Jupyter Notebook - Size: 109 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

ayushk028/Customer-Segmentation-Using-Clustering-Algorithms

Customer Segmentation Using Unsupervised Machine Learning Algorithms

Language: Jupyter Notebook - Size: 71.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

crimslack/dbscan-customer-segmentation

dbscan

Size: 180 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Ajeeb-Alameen/machine-learning

This repository contains machine learning projects from the Fundamentals of Machine Learning course at GUC.

Language: Jupyter Notebook - Size: 4.37 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

KhooodeSIN/Movie-clustering

Language: Jupyter Notebook - Size: 108 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AkshaySyal/DBSCAN-Clustering-Projects

The project implements and evaluates DBSCAN across toy, synthetic, and real-world datasets, highlighting its clustering process, parameter sensitivity, and performance strengths and limitations.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

yuting1008/RFM-Customer-Segmentation

RFM (Recency, Frequency, Monetary) analysis and customer segmentation with K-means and DBSCAN.

Language: Jupyter Notebook - Size: 8.54 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Nevin-Adatte/Face-Clustering-and-Retrieval-System

Language: Python - Size: 14.6 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

bakraamm/ML-for-Workforce-Analytics-Sales-Forecasting-Segmentation-Sentiment-Analysis

This repository explores machine learning applications in HR, Sales, Marketing, and PR to improve decision-making. It features models for predicting employee turnover, forecasting sales trends, and customer segmentation. 🐙📊

Language: Jupyter Notebook - Size: 4.83 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

souvikmajumder26/Any-Face-Clustering

📸 Face Clustering Engine developed using OpenCV & DBSCAN, deployed as a Streamlit Web App to deliver uploaded images grouped according to the individual unique faces in them.

Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 12 - Forks: 5

Yutarop/sign_detection

ROS2 package for detecting road-closed signs, designed for Task C of the Tsukuba Challenge.

Language: Python - Size: 43.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

imildositoe/car_pedestrian_lidar_data_processing

Object detection, classification, and tracking using LiDAR data collected by a Blickfeld Cube 1 sensor.

Language: Python - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

IthavinduU/DBSCAN-Algorithm-for-Investment-Portfolio-Creation

a data-driven stock portfolio optimization strategy using historical price data and modern portfolio theory. It dynamically rebalances monthly to maximize the Sharpe ratio and is benchmarked against the SPY ETF for performance comparison.

Language: Jupyter Notebook - Size: 4.14 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

MadhukarSaiBabu/ML-for-Workforce-Analytics-Sales-Forecasting-Segmentation-Sentiment-Analysis

Implemented machine learning across HR, Sales, Marketing, and PR to improve decision-making. Used models like XGBoost, Prophet, LSTM, clustering, and NLP to enhance retention, forecasting, segmentation, and sentiment analysis for business growth.

Language: Jupyter Notebook - Size: 4.88 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

FabrizioMusacchio/dimensionality_reduction_in_neuroscience

Course material for "Dimensionality reduction in Neuroscience"

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1

Soumyad3110/Netflix-Recommendation-System

Recommendation of movies

Language: Python - Size: 21.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

vityasyyy/kmeans-dbscan

Machine Learning KOM A Yunita Sari, S.Kom., M.Sc., Ph.D. Implementing K-Means and DBScan algorithm without libraries

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Samia35-2973/Deep-Learning-for-Explainable-Traffic-Anomaly-Detection-in-Dhaka

The project introduces a Multi-Stage Traffic Anomaly Analysis Framework for identifying and analyzing urban traffic congestion, particularly in Dhaka. Originally utilizing Faster R-CNN and DBSCAN, it has been upgraded to state-of-the-art YOLOv9e and YOLOv10l models for enhanced accuracy and efficiency.

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

Agoons20/Portfolio-Mgmt-And-Machine-Learning-in-Finance

Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods

Language: Jupyter Notebook - Size: 3.83 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dinhngoc267/implement-DBSCAN-from-scratch

A from-scratch implementation of the DBSCAN clustering algorithm using NumPy, complete with visualization and noise detection.

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

dennismgoetz/MA_predicting_Shapley_values

Implementation part of my master thesis "Predicting Shapley values in routing problems with machine learning"

Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

nolnolon/User-Clustering-with-BERT-Models

User Clustering Pipelines with BERT Models on Long and Heterogeneous Tweets - BSc Thesis

Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

havelhakimi/BankMarketing

Perform anomaly detection on Bank Marketing dataset

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

Ehsan-Behzadi/Breast-Cancer-Prediction-Model

This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.

Language: Jupyter Notebook - Size: 793 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

nezzmil/Cluster-Analysis

Business Objective: Creating clusters on Global Development Measurement

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Faroja/Olist-Customers-Segementation

Olist Customers Segementation using 3 method Domain Knowledge, KMeans & DBScan. After Customers segment I Analyst our customers segment behavior

Language: Jupyter Notebook - Size: 71.9 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

manvirheer/parkingticketanalysis

An in-depth analysis of Vancouver parking ticket data using Python and geospatial techniques to identify patterns and hotspots in parking violations across the city from 2017-2024.

Language: HTML - Size: 38.3 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

MNitin-Reddy/Optimizing-E-Commerce-Logistics-and-Customer-Segmentation-Using-Machine-Learning

This project applies machine learning to optimize e-commerce logistics and customer segmentation. By predicting delivery delays and cancellations using classification models and identifying customer segments with clustering techniques, it helps improve operational efficiency and targeted marketing strategies.

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CartesianXR7/Meridian

An open-source intelligent RSS news aggregator with advanced clustering, scoring, and ranking capabilities

Language: Python - Size: 42 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

AsadiAhmad/DBSCAN

DBSCAN is clustering algorithm.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 11 - Forks: 0

aliciagilmatute/Machine-Learning--unsupervised-

Proyectos de Aprendizaje Automático No Supervisado

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ShrinivasaPH/ML-Clustering-Countries

This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor Developing or Rich. The results are visualized on an interactive world map, allowing you to explore global clustering patterns.

Language: Python - Size: 3.31 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

dineshdb/data-mining 📦

Data Mining Assignments

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Akimuddinshaikh/Master-s-Research-Project

A hybrid approach combining texture-based (GLCM) and deep learning (ResNet50) features with unsupervised clustering and supervised classification for detecting liver diseases. Achieved 99%-100% accuracy using SVM, XGBoost, and Random Forest on pseudo-labeled medical imaging datasets

Size: 9.46 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

vladimir-mosin/dbscan-tuning

Настройка параметров кластеризации dbscan приведением метрики силуэта к локтевой точке

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pintamonas4575/DISPBD-lidar-project-MAADM-UPM

Proyecto de clustering para asignatura de "Diseño de sistemas de adquisición y procesamiento masivo de datos" de máster de la UPM.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

danny-1k/torchclust

Efficient and Scalable Implementations of Clustering Algorithms using Pytorch.

Language: Python - Size: 96.7 KB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

taha-parsayan/AI-driven-Parcellation-of-Human-Brain-using-Density-Based-Scan

Implemented density-based scan clustering Machine Learning model for human brain parcellation and detected over 60 clusters in each brain hemisphere. The model was developed using Matlab.

Language: MATLAB - Size: 15.2 MB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

dekilhaden/dekey

A Python-based project for data analysis using PCA and DBSCAN clustering techniques on a dataset.

Language: Jupyter Notebook - Size: 942 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

hansalemaos/cydpscan

Very fast dbscan 2d / 3d for Python - written in Cython/C++

Language: C++ - Size: 21.5 KB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ryancodingg/Customer-segmentation-and-clustering-analysis

This project focuses on customer segmentation using unsupervised machine learning techniques. The goal is to analyze customer data, identify distinct customer groups (clusters), and extract useful insights for business decision-making.

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air

Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)

Language: Python - Size: 82 KB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

PatD123/Crop-Lane-Detect

Lane Detection using DBSCAN + IPM + A Bit of Temporal Smoothing

Language: Python - Size: 720 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 3

FluveFV/MilanThermalComfortAnalysis

Repository for sharing project paper on the relationship between PET and type of land use, clustering geospatial information and visualizing it. The data and indications are kindly offered (and belong to) by Transport Transform. The course is taught by D. Giuliani and M. Napolitano ( @github.com/napo )

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

thomasnapier/LEAVES

Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.

Language: Python - Size: 6.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ranieri-unimi/spawn-em-all

Modelling spawnings on Pokémon Go 🪄 using multivariate statistical algorithms 🎰

Language: Jupyter Notebook - Size: 5.09 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

MoinDalvs/Assignment_East-West_Airlines

Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

KasrAskari/USA-Weather

Clustering USA Weather Stations

Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

RobCyberLab/Image-Pixel-Clustering

🌀Image Pixel Clustering📏

Language: Python - Size: 2.52 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

bjam24/bank_customer_segmentation_methods

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

MAvRK7/Prediction-of-Specific-Star-Formation-Rate-SSFR-Using-Synthetic-Data-and-Identifying-regions-of-in

This repo is about the SFR predicting project augmented with synthetic data

Language: Jupyter Notebook - Size: 4.94 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

anna-kay/Bank-Marketing-Dataset-classification-clustering

Bank Marketing Dataset (BMD), Machine Learning Repository (UCI), classification, clustering, R

Language: R - Size: 9.77 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SirineMaaroufi/ML_Clustering_Explorations

This repository contains a series of notebooks exploring various clustering techniques in machine learning.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

jeffreywijaya100/exercise-ml

solving case and answer question given about machine learning

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0zAND1z/dictao

Decentralized Intelligent Contact Tracing of Animals and Objects

Language: Python - Size: 792 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 0

WolfverusWasTaken/Nomic-Scene-Search

Embedding based Scene search and visualization

Language: Python - Size: 466 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SuperJMN/DeDup

Tool to detect duplicates and copy them to a curated directory (without duplicates)

Language: C# - Size: 2.81 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

suraj5424/Text-Clustering-with-Sentence-Transformers

This project demonstrates text clustering using SBERT embeddings. Includes text preprocessing, K-Means and DBSCAN clustering, and visualization of clusters. See scripts/ for detailed implementation.

Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

RahulSawant9821/DissertationMain

A public dataset was used to evaluate machine learning algorithms like K-means and hierarchical clustering, identifying distinct customer segments. The best model was integrated into a user-friendly dashboard, providing valuable customer insights. This tool improves segmentation accuracy and efficiency, accessible even to non-technical users.

Language: Jupyter Notebook - Size: 28.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

singhsourav0/Machine-Learning-Algorithms

Explore a broad range of machine learning algorithms, including ML, RF, SVM, LR, NB, PCA, LogReg, DT, KMeans, SVMC, GD, HClust, DBSCAN, ICA, KNN, and more, within this repository. Gain practical insights and apply these diverse ML concepts effectively.

Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

FYT3RP4TIL/Anomaly-Detection

Language: Jupyter Notebook - Size: 683 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

iamluirio/unsupervised-learning-clustering

DBSCAN Clustering algorithm: Cosine Similarity metric.

Language: Jupyter Notebook - Size: 723 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SaadARazzaq/Imtiaz-Remastered

Data Science for Supermarket Customer Retention

Language: Jupyter Notebook - Size: 9.26 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

pushkarsaini18/Customer-Behaviour-Pattern

Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors, and concerns of different types of customers. Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments. For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyze which customer segment is most likely to buy the product and then market the product only on that particular segment.

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

sayande01/Non_Linear_Clustering_DBSCAN

Built a DBSCAN clustering to identify patterns in complex datasets. Utilized density-based spatial clustering to group data points based on proximity and noise, providing robust analysis and pattern detection. Includes detailed implementation and visualization to aid data exploration and insights.

Language: Jupyter Notebook - Size: 641 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0