Recommendations with IBM

Table of Contents

• Installations
• Project Motivation
• File Descriptions
• Licensing, Authors, Acknowledgements, etc.

Installations

• NumPy
• Pandas
• Seaborn
• Matplotlib
• Wordcloud
• Pillow
• Pickle

No additional installations beyond the Anaconda distribution of Python and Jupyter notebooks.

Project Motivation

For this project I was interested in analysing the interactions that users have with articles on the IBM Watson Studio platform, and making recommendations to them about new articles they would like. The project was divided into the following tasks:

• Exploratory Data Analysis
• Rank Based Recommendations
• User-User Based Collaborative Filtering
• Matrix factorisation

File Descriptions

data

|- articles_community.csv # articles
|- user-item-interactions.csv # user item interactions data

Recommendations_with_IBM.ipynb # Jupyter notebook
Recommendations_with_IBM.ipynb # html of jupyter notebook
debug.log project_tests.py # project tests python script top_10.p top_20.p top_5.p

README.md

Licensing, Authors, Acknowledgements, etc.

Acknowledgement should go to Udacity for the project inspiration.