nivalex01/Customer-Segmentation-with-Clustering
Customer segmentation project using clustering techniques (KMeans, Hierarchical) on retail transaction data. Includes data preprocessing, feature engineering, outlier detection, and visualization to support personalized marketing strategies.
No commits in the last 6 months.
Stars
3
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nivalex01/Customer-Segmentation-with-Clustering"
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
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
davidgeorgewilliams/segmentation-forests
Discover hidden segments in your data using Random Forest-inspired trees that find where metric...