jonas-schumacher / udacity-blogpost Goto Github PK

1. Installation
2. Project Motivation
3. File Descriptions
4. Results
5. Licensing, Authors, and Acknowledgements

You need Python 3.X and an environment (I used venv) containing the following pip packages:

• numpy
• pandas
• matplotlib
• seaborn
• sklearn

This project is part of the Data Scientist Udacity Nanodegree.
I decided to find out more about sleep and sleep efficiency:

1. Does age influence the sleep duration?
2. Does caffeine consumption decrease sleep efficiency?
3. What other factors are most important for sleep efficiency?

There is only one notebook containing all the relevant code.

The main findings of the code can be found at the post available here.

The data is a Kaggle dataset, which can be found here (including Licence information). You can use my code however you like.