Mall-Customers-Segmentation and customer-segmentation-ml
Maintenance
10/25
Adoption
5/25
Maturity
8/25
Community
11/25
Maintenance
10/25
Adoption
3/25
Maturity
11/25
Community
0/25
Stars: 12
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 4
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
No License
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About Mall-Customers-Segmentation
devotuoma/Mall-Customers-Segmentation
In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
This helps businesses organize their customer data to understand different customer groups better. By taking in customer details like age, income, and spending habits, it outputs distinct customer segments. This is ideal for marketing managers, business strategists, or retail analysts looking to tailor marketing efforts more effectively.
customer-segmentation
marketing-strategy
retail-analytics
market-research
customer-profiling
About customer-segmentation-ml
Man2Dev/customer-segmentation-ml
Customer Segmentation for Marketing Optimization K-Means clustering on credit card data.
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