This was my final project in the "Introduction to Machine Learning with PyTorch" nano degree program at Udacity
Project code for Udacity's Introduction to Machine Learning with PyTorch" Nanodegree program.
The task was to analyse general data and customer specific data from ARVATO to finde the best fitting customer clusters for a campaign.
There are the following files to use:
- Identify Customer Segments.ipynb: This is the Jupyter Notebook i developed the code. For submission a html-file is included.
This project was the third project at the Udacity Nanodegree program "Introduction to Machine Learning with PyTorch". I am super thankful for this experience and proud to be certified with this nanodegree program.
This project is open source and available under the [Udacity License]