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项目作者： djirmgard

项目描述 ：
Machine learning project to cluster customer groups and forecast responses.
高级语言： Jupyter Notebook
项目地址: git://github.com/djirmgard/arvato-udacity-project.git
创建时间： 2020-08-02T10:12:37Z
项目社区：https://github.com/djirmgard/arvato-udacity-project
开源协议：
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Customer Segmentation for Arvato Financial Services

In this project, supervised and unsupervised machine learning algorithms are used to analyze demographical datasets of a general population as well as of customers of a German mail-order company. The goal of the project is twofold:

  1. Cluster the datasets into groups to find out characteristics of existing customers and differences to general population
  2. Develop a forecasting model to predict and identify prospective customer response for a marketing campaign

This is one of Udacity’s capstone project for the Data Science Nanodegree program. The data is provided by Arvato Financial Services, a Bertelsmann subsidiary.

The complete project report can be found in @matthias_h2609/customer-segmentation-for-arvato-financial-services-ffb089f2017f>this blogpost.

Installation

The project code was written in Python 3.5 using Jupyter Notebook. All programs and libraries that were used, including Pandas, Numpy, and scikit-learn, are part of the Anaconda suite.

Acknowledgments

Kudos to Udacity and Bertelsmann/Arvato for providing this fun and challenging project! Tipping my hat also Elena Ivanova (lenuel) and DeepVen who inspired parts of the solutions.