World-of-AI
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adithya-s-k
Mall Customer Segmentation [GSSOC'23]
#181
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In this Project, we have implemented 2 algorithms - Hierarchical Clustering & KMeans for Mall Customer Segmentation to get a sense of how the purchasing power of the customers is a base point to create Marketing Strategies. This project's logic can be used in various businesses of different scales.
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[x] GSSOC Participant
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[x] Contributor
Closes: #181
Describe the changes you've made
Give a clear description what modifications you have made-
Have created a Mall Customer Segmentation ML project which uses a publicly available Dataset for a Mall and trying to understand customers sentiments while purchasing and Finding results. Tasks Performed: - 1.Data Collection 2.EDA & Preprocessing 3.Hierarchical Clustering + Its findings 4.KMeans+Findings
Type of change
What sort of change have you made:
- [ ] Bug fix (non-breaking change which fixes an issue)
- [x] New feature (non-breaking change which adds functionality)
- [ ] Code style update (formatting, local variables)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [x] This change requires a documentation update
How Has This Been Tested?
Describe how have you verified the changes made Tested by plotting different plots and finding out relations.
Checklist:
- [x] My code follows the guidelines of this project.
- [x] I have performed a self-review of my own code.
- [x] I have commented my code, particularly wherever it was hard to understand.
- [x] I have made corresponding changes to the documentation.
- [x] My changes generate no new warnings.
- [x] I have added tests that prove my fix is effective or that my feature works.
- [x] Any dependent changes have been merged and published in downstream modules.
Screenshots
| Original | Updated |
|---|---|
| Original Screenshot | Updated Screenshot |
| Hierarchical Clustering |
KMeans
