joaolcorreia/RFM-analysis

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

Language: Jupyter Notebook - Size: 534 KB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 273 - Forks: 175

Nikhilkohli1/Digital-Marketing-Analytics

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

Language: Jupyter Notebook - Size: 85.9 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 214 - Forks: 63

rsquaredacademy/rfm

Customer Segmentation using RFM Analysis

Language: R - Size: 103 MB - Last synced at: 17 days ago - Pushed at: 10 months ago - Stars: 61 - Forks: 27

AbhishekGit-hash/Data-Analytics-Customer-Segmentation

In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.

Language: Jupyter Notebook - Size: 42.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 26 - Forks: 11

Nikhilkohli1/Olist-Marketing-Analytics

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 26 - Forks: 16

klaudia-nazarko/rfm-analysis-python

This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.

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aryashah2k/Datalogy-Customer-Segmentation-Data-Science-Internship

A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.

Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 4

sonwanesuresh95/rfm

Python Package for RFM Analysis and Customer Segmentation

Language: Python - Size: 3.44 MB - Last synced at: 25 days ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 2

popolee0513/Data-Science-Skills-Practice

Language: Jupyter Notebook - Size: 284 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 6

mesudepolat/RFM_ANALYSIS

customer segmentation with rfm

Language: Python - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 0

dmeoli/OnlineRetail

Data Mining project 2020/2021 @ University of Pisa

Language: Jupyter Notebook - Size: 235 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 4

maj34/Analysis-Programming-Project

[ 전공 프로젝트: 분석 프로그래밍 ] L사의 고객 세분화를 통한 맞춤형 상품 추천

Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

siddharth271101/K-means-clustering-using-RFM-variables

Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm

Language: Jupyter Notebook - Size: 434 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 6

fvanheer/RFM-Model

Basic RFM model to kickstart customer value segmentation. This project aims to guide the first time user to have a bouncing board into setting up their first segmentation model.

Language: Python - Size: 7.54 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 3

RachelPengmkt/Marketing-Segmentation-RFM-Analysis

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 4

aliceagrawal/HM-Recommender-System-App

Built a collaborative filtering and content-based recommendation/recommender system specific to H&M using the Surprise library and cosine similarity to generate similarity and distance-based recommendations.

Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4

TarikKaanKoc/FLO_RFM_Analysis

Within the scope of the project, I determined the marketing strategies by segmenting the customers of the online shoe store FLO.

Language: Python - Size: 140 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 1

LarsTinnefeld/olist_ecom_analysis

Data analysis about Brazilian e-commerce business Olist

Language: Jupyter Notebook - Size: 127 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3

Yyalexx/SF-studing-projects

Учебные проекты, выполненные во время обучения на курсе Data Scientist

Language: Jupyter Notebook - Size: 4.92 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

egemenzeytinci/neo4j-example

Creating a graph using e-commerce data and make a RFM analysis

Language: Jupyter Notebook - Size: 9.48 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

PeerChristensen/Customer_Analytics

Methods for doing customer analytics in R

Language: R - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 4

ZiadAhmed10/Online-Retail-RFM-Analysis

A project with SQL which focuses on gaining insights from the dataset by implementing RFM analysis model and utilizing analytical functions to reach the desired results and insights.

Size: 381 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

boratutumluer/rfm-analysis

:shopping: Customer Segmentation with RFM Analysis

Language: Python - Size: 27.1 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

Arkantos-13/RFM_Customer_Segmentation_Analysis

RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behaviour based customer segmentation. It groups customers based on their transaction history in other terms– how recently (R), how often (F) and how much (M) did they buy.

Language: Jupyter Notebook - Size: 469 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - 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: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

Paul-Asamoah-Boadu/Cohort-Analysis-and-Customer-Segmentation

This project involves cohort analysis and customer segmentation to help an e-commerce giant improve its product offerings, customer relations and maximize profit.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

minmyatoo/RFM-Saved-Search

🔓 Harness the potential of customer segmentation using RFM analysis within NetSuite ERP's Saved Search. Uncover valuable insights into customer behavior and craft targeted marketing strategies. 🚀 Stay ahead of the competition by comprehending recency, frequency, and monetary value. 📊 Elevate your business with decisions rooted in data. 📈

Size: 15.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

mtahiraslan/flo_rfm_analysis

FLO, which is an online shoe store, wants to divide its customers into segments and determine marketing strategies according to these segments. For this, the behavior of customers will be defined and groups will be formed according to the clutches in these behaviors.

Language: Python - Size: 154 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

carlamendescms/analise-de-segmentacao-de-clientes-no-e-commerce

Este notebook faz parte da solução que desenvolvi para o Projeto 3 da Certificação Analista de Dados da Laboratoria em parceria com a IBM.

Language: Jupyter Notebook - Size: 2.76 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

HadiNazari920804/K-Means-Clustering

Improving customer clustering using the K-means algorithm by adding more features to the RFM model

Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

atakankizilyuce/rfm_analysis

RFM analysis and customer segmentation with the data of an e-commerce site

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

npradaschnor/ifood_Case

This case is used for hiring Data Analysts for the iFood Brain team.

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it21208/RFM-Using-the-CDNOW-Dataset

Implementation of the RFM model using the CDNOW transactional data set in R.

Language: R - Size: 130 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

oliver1917alejandro/E-Commerce-customer-segmentation-for-sales-growth-

E-commerce Customer Segmentation & Actionable Insights (RFM Analysis)

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ChaitanyaC22/Customer-Segmentation-Using-RFM-Analysis-for-Online-Retail

This project uses RFM (Recency, Frequency, and Monetary) segmentation to analyze customer behavior and provide insights for targeted marketing campaigns. By classifying customers based on their purchasing patterns, strategies can be tailored to improve customer retention, drive growth, and maximize the lifetime value of each customer.

Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

muratukel/RFMAnalysisWtihSQL

Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Reign2121/Customer_Value

Evaluating customer value and targeting

Language: R - Size: 360 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

Rochan79/Recommendation-and-Segmentation-in-Retail

Product Recommendation and Customer Segmentation in Retail industry using Market Basket Analysis and RFM analysis

Language: Jupyter Notebook - Size: 61.4 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

Ashutosh-Singh15/RFM-analysis

Customer Segmentaton using RFM analysis

Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Bless1004/Capstone_Projects_ML

1. Diabetes Prediction Using Ensemble Techniques 2. Customer Segmentation Using RFM & K-Means 3. Market Basket Analysis

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

andrewbruening/Superstore-RFM-Segmentation-Analysis

A project originating in Python and wrapping up with a Tableau viz of RFM segmentation

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coletangsy/Customer-Analysis-Online-Retails

This project focus on customer analysis and segmentation. Which help to generate specific marketing strategies targeting different groups. RFM Analysis, Cohort Analysis, and K-means Clusters were conducted on a UK-based online retail transaction dataset with 1,067,371 rows of records hosted on the UCI Machine Learning Repository.

Language: Jupyter Notebook - Size: 70 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 6

Surendra-Tanniru/RFM-Analysis

RFM analysis on Adventure works database

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m-rbn/data-science-portfolio

Portfolio of my Data Science projects

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Manvendra747/Customer-Segmentation

Customer segmentation using Python and PowerBI

Size: 2.86 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Agungvpzz/RFM-Analysis-with-Polars

Understood customer behavior based on their transaction history.

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

nthaihoc/rfm-segmentation-ml

An automatic machine learning based customer segmentation model with RFM analysis at ICTA conference 2024

Language: Python - Size: 221 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

MaklonFR/E-Commerce-Analysis

Proyek Submision Dicoding Indonesia - Belajar Analisis Data dengan Python

Language: Jupyter Notebook - Size: 30.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

chicolucio/marketing-campaign-optimization

Turning data into smarter marketing — prediction of customer behavior to maximize profit

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: about 7 hours ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

2code4coffee/Segmentacao-O-Mercado

Análise de segmentação RFM para um mercado que enfrenta dificuldades para fidelizar clientes. Um projeto do bootcamp Laboratoria.

Size: 3.71 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

NurFakhri/E-Commerce-Segmentation

E-commerce customer segmentation using their purchasing behavior. The RFM (Recency, Frequency, and Monetary) is utilized to classify customer into meaningful segments.

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

nikhilsree5/EcommCRM

CRM Analysis of a E commerce company.

Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/ML-Project-Customer-Segmentation

📈 Implementing clustering algorithms, it provides valuable insights that can targeted marketing strategies, improve customer relationship management.

Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

mattdelaune/Retail_RFM_Analysis

Power BI multi-page report leveraging advanced data visualization for RFM analysis. Delivers deep analytical insights into customer behavior, engagement, and spending patterns, driving strategic business decisions.

Size: 17 MB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Soumya6Tiwari/Customer-Segmentation-using-RFM-analysis

This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.

Language: Jupyter Notebook - Size: 6.91 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

datalopes1/olist_rfv

Uma análise RFV utilizando os dados do dataset Brazilian E-Commerce Public Dataset by Olist disponível no Kaggle

Language: Python - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

aws-solutions-library-samples/guidance-for-recency-frequency-and-monetization-analysis-on-amazon-pinpoint

Recency, Frequency and Monetary (RFM) Segmentation guidance for Amazon Pinpoint.

Language: Python - Size: 512 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

mftnakrsu/CRM-RFM-Analysis

CRM-RFM-Analysis

Language: Python - Size: 13.7 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mftnakrsu/CLTV_customer-lifetime-value-analysis

CLTV_customer-lifetime-value-analysis

Language: Python - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Saswat7101/RFM-Analysis-using-Python

This repository provides a comprehensive implementation of RFM (Recency, Frequency, Monetary) analysis using the Python programming language.

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

hamzaugursumer/RFM-Analysis-With-SQL

Size: 57.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

adimidania/kpmg-virtual-internship

This repository contains my submission for the Data Analytics Program offered by KPMG Australia via Forage, which is designed to demystify big data and teach individuals how to achieve business outcomes with the KPMG data analytics team.

Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

AyushiAsthana18/RFM-Analysis

This repository contains the "RFM Analysis" for a Sales Data of a Retailer in SQL. This is part of my Data Science Portfolio Projects

Language: TSQL - Size: 272 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

mamomen1996/R_CS_09

Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

Language: HTML - Size: 2.98 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

yacine-ammi/Mobile-CCP

This repository is created to share the steps that were taken in making my Graduation Thesis for my Applied Statistics Diploma, the project is about creating a machine learning model to predict the churn in a telecom company, this repository includes: The dataset used in the project, the relevant code, and the theisis in pdf.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

taniyadubey/Marketing-and-Retail-Analysis-rfm-analysis

This project aims to find the underlying buying patterns of the customers of an automobile part manufacturer based on the past 3 years of the Company's transaction data and hence recommend customized marketing strategies for different segments of customers.

Language: Jupyter Notebook - Size: 2.99 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

IIAndrewII/Customer_Behavior

This behavior data set contains about 9 million rows for two months (October and November 2019) from a medium cosmetics online store hosted by REES46 niche-specific personalization engine Platform.

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VladKosh1994/E-commerce-Project

It is my studying project

Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

VladKosh1994/User-segmentation

How to segment your customers

Language: Jupyter Notebook - Size: 116 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

TashaStrogaya/Portfolio

The rep of my product analytic's skills.

Language: Jupyter Notebook - Size: 3.32 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

jahnvisikligar/Maximizing-Sales-with-Customer-Segmentation-using-RFM

Performed exploratory data analysis (EDA) to create graphical visualisations for 'Sales per country' on cleaned data. As part of the case study, customer segmentation (RFM analysis) and the Apriori algorithm were implemented.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Chandrakant817/Excel-Project

Size: 42.5 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

alyssonvidal/E-Commerce-Clusterization

E-commerce customer clustering problem and comparison of the statistical and machine learning model

Language: Jupyter Notebook - Size: 49.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

azulrosales/sales-analysis

Sales Analysis and Customer Segmentation

Language: TSQL - Size: 115 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

krishna-aditi/product-recommendation-based-on-market-basket-analysis-and-rfm-analysis

Web App for Product Recommendation based on Market Basket Analysis and Customer Segmentation using RFM Analysis

Language: Jupyter Notebook - Size: 22.7 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Amena-Saiyed/RFM-Segmentation

RFM analysis is a behavior-based approach grouping customers into segments. RFM filters customers into various groups for the purpose of better service. It helps managers to identify potential customers to do more profitable business.

Language: Jupyter Notebook - Size: 85.9 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

tohid-yousefi/RFM_Analysis_and_CLTV_Prediction_FLO

In this section, I will perform RFM analysis and CLTV prediction on the dataset belonging to the FLO store.

Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Zarich12/Customer-Segmentation-Analysis

A customer segmentation analysis based on RMF metrics of the customer

Language: Jupyter Notebook - Size: 234 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

akimalikhanov/online-retail-customer-segmentation-rfm

EDA, Clustering & RFM Analysis of Online Retail Data

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

erlndofebri/Marketing-Response

The objective of this project is to develop a model that predicts customer behavior whether it'll reponse/accept the marketing campaign or not and RFM Segmentation

Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

onurhalityenice/RFM_Analysis

Customer segmentation over the dataset of the online shoe store

Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

dayanacavalcante/CustomerSegmentation

Customer Segmentation by RFM

Language: Python - Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

cevahirozgur/RFM-Analizi

Online ayakkabı mağazası olan FLO müşterilerini segmentlere ayırıp bu segmentlere göre pazarlama stratejileri belirlemek istiyordu. Buna yönelik olarak müşterilerin davranışları tanımlandı ve bu davranışlardaki öbeklenmelere göre gruplar oluşturuldu.

Language: Python - Size: 5.86 KB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Senan25/RFM_Analysis_Customer_Segmentation

It is highly related to the Customer Segmentation problem, so with RFM Analysis itself as well

Language: Jupyter Notebook - Size: 527 KB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

mebaysan/introduction-to-creating-cli-and-custom-package

Introduction to create a CLI and custom Python package. The package contains some functions to apply RFM and BG-NBD.

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

smh997/Audiobook-Customer-Segmentation-and-Purchase-Prediction

Segmenting customers of an audiobook platform and predicting their future purchase.

Language: Jupyter Notebook - Size: 821 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

copev313/Customer-Segmentation-RFM-Matrix-Principle

In this project we demonstrate how the RFM matrix principle can be used to investigate customer segmentation.

Language: Jupyter Notebook - Size: 7.07 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

Tanmaay3/E-Commerce_Store_Analysis

A Data Science and Machine Learning project using RFM Clustering

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

CK-ghub/RFM-Analysis-and-Project-Recommender-in-R

Project recommendation system for DonorsChoose.org in R based on RFM analysis and K-Means Clustering

Language: HTML - Size: 2.28 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

unguyen14/RFM_Analysis

A data visualization dashboard that describes valuable customer groups applying RFM method

Language: Jupyter Notebook - Size: 51.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

ShreenidhiN/Customer-Segmentation

Customer Segmentation Analysis, developed using Python, by using Clustering Algorithm for the purpose of dividing the customers into groups based on the similarity in different ways that are relevant to marketing such as location, items, spending score, salary and accordingly identify customers’ behavior and interests and focus on them for future benefits of the company.

Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

venkatesh-eranti/Clustering_Project_online-retail_case-study

For an UK based non-store online retail for which we need to cluster it's customers in to different groups so that we can run targeted campaign for each group

Language: Jupyter Notebook - Size: 475 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

CahyaPutera/GOERS-CUSTOMER-PROFILING

This repo was made to fulfill IYKRA Data MBA Capstone Project requirement using confidential data from goersapp.com database.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

madhurchhajed/Customer-Segmentation-and-Analysis

Customer Segmentation and Analysis for UK based all-occasion gifts retail company

Language: Jupyter Notebook - Size: 783 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

k-bosko/RFM_analysis

Recency, Frequency, Monetary Value of Customers

Language: Jupyter Notebook - Size: 446 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

saulventura/K-means

K-means as an unsupervised machine learning technique. Customer Segmentation Case.

Language: R - Size: 41.4 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

sdrttnclskn/R-rfm-model

Elektrik verisi ile müşteri skorlama model çalışmaları.

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rsquaredacademy/r2academy

Easily install and load all Rsquared Academy R packages.

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yushghimire/R-try-out 📦

Trying out different analysis algorithms, at my times in college

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frizchar/streamlit_rfm

streamlit app - RFM analysis

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