Datadriven customer segmentation with python: This published repository is a generalized code of my masterthesis. Aim of the thesis was to check how a model for customer segmentation model in python can look. More detailed, the value of a customer in the model is represented by the concept lfrmp which is commonly used in customer value analysis. To cluster the customers according to their lrfmp characteristics k-Means algorithm is applied. In order to demonstrate the code's functionality a test dataset is uploaded. The used versions are: - python 3.6.5 - pandas 0.23.0 - scikit-learn 0.19.1 - seaborn 0.8.1 To check which license is used open LICENSE.txt.
ChLeonhartsberger/datadriven-customer-segmentation-with-python
generalized code used in my master thesis
Jupyter NotebookMIT