This repo contains a personal project on building a machine learning model to predict response of simulated Starbucks customers, which are based on real data. The dataset is provided by Udacity and Starbucks as a resource for a capstone project for Machine Learning Nanodegree program they host.
- Make sure Anaconda is installed: https://docs.continuum.io/anaconda/install/.
- Make sure the following Python packages are installed to run the notebook:
- Python 3
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Scikit Learn
In this project, I am interested in building a machine learning model that could predict customers response from a promotional offer based on their attributes and also based on the offer's attributes.
The project is lay out in the Jupyter Notebook file here: Starbucks Capstone Project.ipynb.
- Udacity & Starbucks: Starbucks simulated customers, offers, and transactions datasets.
The content of thic package is covered under the MIT License.