yaswanth-AIML/Customer-Segmentation
This project demonstrates **customer segmentation using unsupervised learning (KMeans clustering)** with an interactive **Streamlit frontend**. The workflow: **Data preprocessing** cleaning, encoding categorical variables, scaling numerical features.
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yaswanth-AIML/Customer-Segmentation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Pegah-Ardehkhani/Customer-Segmentation
Customer Personality Analysis Using Clustering
davidgeorgewilliams/segmentation-forests
Discover hidden segments in your data using Random Forest-inspired trees that find where metric...
devotuoma/Mall-Customers-Segmentation
In this machine learning project, we will make use of K-means clustering which is the essential...
NhanPhamThanh-IT/KMeans-Clustering-Customer-Segmentation
👨 K-Means Clustering Customer Segmentation is an interactive Streamlit app that uses machine...
ibrahim-ogunbiyi/Customer-Segmentation
An approach to Customer Segmentation Using ML