Found 218 repositories(showing 30)
Agent-A345
Segment mall customers using a K-Means model trained on the Mall Customers dataset. The model takes Annual Income (k$) and Spending Score (1–100) as inputs and returns a segment (cluster) label, with outputs including a cluster profile and validation plots.
TaraB287
This project uses K-Means clustering to group mall customers into five distinct segments based on their annual income and spending score. The goal is to identify different customer types—such as high-earners who spend a lot ("Prime Targets") versus those who are more frugal—to help the mall create more effective, targeted marketing campaigns.
its-siddharth
No description available
AdityaD28
Uses K-Means clustering to segment mall customers based on annual income and spending score. This project identifies five distinct customer profiles to enable targeted marketing strategies.
Smruti270505
MAIL CUSTOMER..
namo12345
Create a K-means clustering algorithm to group customers of a retail store based on their purchase history.
Harshith-b46
No description available
Parthnaraniya
No description available
mannii0105
No description available
Tavakalmastan
No description available
ayu-yishu13
This project is part of the SCT_ML_02 task, aimed at building a machine learning model that can recognize and classify static hand gestures using Support Vector Machines (SVM). The system can be used for intuitive human-computer interaction, touchless interfaces, or assistive technologies.
MalavikaR2901
No description available
Sakthivel-Max-sys
Repository for SCT_ML_TASK 02 completed in Jupyter notebook
sashank2264
No description available
Yogendiran-SP
No description available
1GA23AI060
K-Means clustering model to group retail store customers based on their purchase history.
Pavi212006
No description available
Karthik-05-dev
No description available
Pavan-G-K
This script performs K-Means clustering on the `Mall_Customers.csv` dataset and saves plots and a labeled CSV.
mattajyothika-12
No description available
kusuma125
No description available
sushmakota157
No description available
Arun21055
No description available
burjavamshi
No description available
uday7273
No description available
BANOTHU-DEEPIKA
No description available
Samhitha89
K-Means Clustering on the Mall Customers Dataset to segment customers based on their annual income and Spendings score.
AnjaliPradhan
No description available
mohangowdahc10-crypto
Customer Segmentation using K-Means Clustering : Developed a machine learning model using K-Means clustering to segment retail store customers based on their purchasing behavior. The model helps identify distinct customer groups such as high-value, medium-spend and low-spend customers enabling targeted marketing and better business decision making.
Razor-Blade-Tech
No description available