This project shows how to use Machine Learning in business. By clustering your customer data you can find groups of them by age, salary, gender or any other feature that you have in your customer dataset. By doing this you can assure to find the best strategy for a market.
The dataset used in this project can be found in the folder of the project itself.
- Python version used in this project: 3.5+
- Pandas 0.18.0
- Numpy 1.10.4
- Matplotlib 1.5.1
- Scikit-learn 0.17.1
The main code used in this project is inside customer_clustering.ipynb. The custom algorith KMeans is in file kmeans_numpy_improved.py in the prooject folder. It is optional to use it.
To run this project you will need some software, like Anaconda, which provides support for running .ipynb files (Jupyter Notebook).
After making sure you have that, you can run from a terminal or cmd next lines:
ipython notebook customer_clustering.ipynb
or
jupyter notebook customer_clustering.ipynb
MIT License
Copyright (c) 2017 Luka Anicin
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.