https://github.com/mwakaba2/customer-segments
Testing unsupervised techniques to see what sort of patterns exist among customers and creating customer segments
https://github.com/mwakaba2/customer-segments
Last synced: about 2 months ago
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Testing unsupervised techniques to see what sort of patterns exist among customers and creating customer segments
- Host: GitHub
- URL: https://github.com/mwakaba2/customer-segments
- Owner: mwakaba2
- Created: 2016-03-08T04:18:54.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2016-03-08T04:20:56.000Z (about 9 years ago)
- Last Synced: 2025-01-31T06:43:00.622Z (4 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 148 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Creating Customer Segments
Unsupervised Learning Project
## Template code
In this directory (`customer_segments/`), run `ipython notebook`, open `customer_segments.ipynb` and follow the instructions.
Note: You need Python 2.7, NumPy, pandas, matplotlib and scikit-learn to work on this notebook.
## Dataset
The dataset refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories.
It is part of a larger database published with the following paper:
Abreu, N. (2011). Analise do perfil do cliente Recheio e desenvolvimento de um sistema promocional. Mestrado em Marketing, ISCTE-IUL, Lisbon.
## Attributes
- Fresh: annual spending (m.u.) on fresh products (Continuous)
- Milk: annual spending (m.u.) on milk products (Continuous)
- Grocery: annual spending (m.u.)on grocery products (Continuous)
- Frozen: annual spending (m.u.)on frozen products (Continuous)
- Detergents_Paper: annual spending (m.u.) on detergents and paper products (Continuous)
- Delicatessen: annual spending (m.u.)on and delicatessen products (Continuous)
## Descriptive statistics
**Attribute: (Minimum, Maximum, Mean, Std. Deviation)**
- Fresh: ( 3, 112151, 12000.30, 12647.329)
- Milk: (55, 73498, 5796.27, 7380.377)
- Grocery: (3, 92780, 7951.28, 9503.163)
- Frozen: (25, 60869, 3071.93, 4854.673)
- Detergents_Paper: (3, 40827, 2881.49, 4767.854)
- Delicatessen: (3, 47943, 1524.87, 2820.106)