Github and Blogpost

Table of Contents

• 1. Installation
• 2. Project Motivation
• 3. File Descriptions
• 4. Results
• 5. Credits

1. Installation

The code should run with no issues using Jupyter Notebook.

2. Project Motivation

This is my first project as a student from Udacity "Data Science Nanodegree Program". I was interestested using Data Visualization, Model Validation, and XG Boost to Starbucks Customer Survey data for better understand:

1. What factors affect to customers loyalty?
2. How income, location, and visit rate contributed to customers loyalty?
3. What coffee shop classification that can compete Starbucks market?

3. File Descriptions

1. Jupyter Notebook that contain work related to the above questions was uploaded using .ipynb file.
2. If you would like to access the datasets to explore more analysis you can find .csv file.

4. Results

For answer 3 questions from project motivations above, you can look at main findings here:

1. Medium blogpost.
2. sb-visual.ipynb
3. customer-loyalty.ipynb

The link and .ipynb file provided general and technical explanation to answer those questions.

5. Credits

Credits to respective datasets owner here.