customer-segmentation-analysis
There are 56 repositories under customer-segmentation-analysis topic.
kshitizrohilla/mall-customer-segmentation-using-k-means-clustering-algorithm
This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.
AImmanuel/Customer-Segmentation-using-PowerBI
Customer segmentation using Python and PowerBI
Ali-jb/onlineRetail_RFM_analysis
Customer Segmentation using RFM analysis
CasperJaa/Analysing-e-commerce-book-sales
E-commerce site data preparation and sales analysis to answer customer profile and sales questions
dikshashub/Customer-Segmentation-analysis
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python .
gabrielhpr/InstacartClustering
Customer segmentation in Instacart. K-means, RFM Analysis.
karolrives/Arvato-Project
Identifies the parts of the Germany population that best describe the core customer base of the Arvato company. Uses a supervised model to predict which individuals are most likely to convert into becoming customers for the company.
melisnv/churn-ml-capstone-project
Data Scientist Bootcamp capstone project
MonjiaBN/Market-Segmentation
This project involves segmenting customers based on their purchase behavior using K-means algorithm.
Rubina-Bansal/KPMG-Marketing-Analysis
Helped their client optimize their marketing strategy by recommending high-value customers.
satyajitovelil/Bertelsmann-Arvato_Customer-Segmentation_and_Prediction
Capstone Project for the Data Scientist Nanodegree by Udacity.
SinaBaghdadi/Customer_Segmentation
Using the [Online Retail dataset](https://archive.ics.uci.edu/ml/datasets/Online+Retail) from the UCI Machine Learning Repository for exploratory data analysis, ***Customer Segmentation***, ***RFM Analysis*** and ***Clustering*** with machine learning unsupervised algorithms
solapade/customersegmentation
The purpose of this project was to perform customer segmentation on mall customers using sklearn Kmeans algorithm. Exploratory data analysis was first performed on the dataset to understand the data. Silhouette analysis was then used to determine the best number of clusters using age, annual income and spending score assigned to customers based on spending habit.
TalhaFarook/SegmentWise
SegmentWise: Unveiling Customer Insights for Exploratory Data Analysis (EDA) and Customer Segmentation
tknishh/Customer-Segmentation-Bank-dataset
EDA and comparisons of various on Bank customer data using pycaret
vrayanoothala/DataScienceCapstone-OnlineRetailer
Data Science - Capstone Project
Zitzewiz/Customer-Segmentation-Challenge
The idea of this challenge was to cluster customers based on a given dataset to align the marketing efforts. Four customer groups were characterized based on income, buying power, credit score, and other criteria
baoh13/ml-capstone
Customer Segmentation Report for Arvato Financial Services. Analyzing demographics data for customers of a mail-order sales company in Germany and identifying most suitable parts of general population whom are most likely to be converted to customers through marketing campaigns.
PanosGor/Customer_Segmentation
This is a Customer Segmentation model made in Python
Sanchariii/Customer_Profiling
This project helps any company or market to target their desired customers or clients by clustering people according to their needs, behaviour and preferences so that they could improve their overall business performance.