Found 2,339 repositories(showing 30)
Pavi1205
No description available
nandhini-1402
This code performs customer segmentation using RFM (Recency, Frequency, Monetary) analysis. It creates an RFM dataframe, determines optimal clusters with k-means, and orders clusters from worst to best. Customers are segmented into high, mid, and low value groups and visualized in a 3D plot for better marketing strategies.
DhanushN2005
No description available
Joyslin-2006
No description available
RAHAMNIabdelkaderseifelislem
Task 2 of the Prodigy InfoTech ML internship which involves Creation of K-means clustering algorithm to group customers of a retail store based on their purchase history.
No description available
AnshKumar3
No description available
Tamilpriyan-MT
No description available
Prannessh2006
Customer segmentation using K-Means clustering on mall customer data. ML analysis for customer behavioral patterns.
aagamdesai
No description available
khushivermaz
"Task-02: Created a K-means clustering algorithm to group customers of a retail store based on their purchase history. This project uses the dataset from Kaggle's Customer Segmentation Tutorial in Python. Explore the clustering approach and results in my GitHub repository!"
SarikaParmar868
A K-means clustering algorithm to group retail store customers based on their purchase history.
Ajay-Pothula
No description available
YoussefMoHlemyAlpha
No description available
RiyaSharma-11
Task-2 of the Machine Learning by PRODIGY INFOTECH . We need to create a K-means clustering algorithm to group customers of a retail store based on their purchase history.
drashtisavsani
No description available
A-Y12
No description available
DaniyalSaud
This repository contains the implementation of a customer segmentation algorithm using the K Means clustering technique. The algorithm groups customers of a retail store based on their purchase history, allowing the store to better understand its customer base and tailor marketing strategies accordingly.
MithileshTEC
K-means clustering
ShreeHariniSuresh
No description available
olit2004
No description available
NehalZ
No description available
poudelsagar725
No description available
alielbahrawy
No description available
RamavarshiniN
No description available
skp111
No description available
novaet12
No description available
arnabsaha7
No description available
atharvvv
Welcome to the Customer Segmentation project! This repository contains the code and resources for segmenting customers using K-Means Clustering, enabling targeted marketing strategies.
surajkarki66
Create a K-means clustering algorithm to group customers of a retail store based on their purchase history.