recommendations-IBM
Table of Contents
Installation
Jupyter Notebooks require a 'data' directory with CSV data files available from the Udacity Data Science Nanodegree course: https://www.udacity.com/course/data-scientist-nanodegree--nd025.
There should be no necessary libraries to run the code here beyond the Anaconda distribution of Python. The code should run with no issues using Python versions 3.*. If I missed some package please let me know to, so I will be able to clarify it here.
Project Motivation
This project is a show of my understanding of recomenndation algorithms based on the interactions between users and articles in IBM Watson (https://www.ibm.com/watson).
File Descriptions
There is only one notebook that was used to solve all of the project questions and accompanying html file generated by that notebook. *.p files are the pickle files that were used by the notebook to load data to verify of the cells. The project_test.py is a file provided by Udacity to run test on some of the cells to confirm the results.
Licensing, Authors, and Acknowledgements
The data for the analysis was provided by IBM to the Udacity Data Science Nanodegree course.