Customer Segmentation with Arvato

In this project, I applied unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used by Arvato to direct marketing campaigns towards audiences that will have the highest expected rate of returns.

Libraries used

• Python
• matplotlib
• numpy
• pandas
• seaborn

Files

Identify_Customer_Segments_Project.html

Identify_Customer_Segments_Project.ipynb

Summary of the Results

The findings of this project can be found on a medium blog here.

Acknowledgments

• All the datasets were used belongs to Aravato.
• Udacity Data Science Nanodegree.