In this project, we will analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.
This project requires Python 2.7 and the following Python libraries installed:
- NumPy
- matplotlib
- scikit-learn
You will also need to have software installed to run and execute an iPython Notebook
In a terminal or command window, navigate to the top-level project directory boston_housing/ (that contains this README) and run one of the following commands:
ipython notebook customer_segments.ipynb jupyter notebook customer_segments.ipynb
This will open the iPython Notebook software and project file in your browser.