Udacity data science nanodegree project 3
- Libraries used
- Project Inspiration
- File Descriptions
- Data Insights
- Licensing, Authors, and Acknowledgements
Python version 3.0. Plugins and imports used were: Pandas, MatplotLib. Libraries:Pandas,Scikit-learn, numpy, matplotlib, progressbar,pickle
Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles you think they will like.
Though the above dashboard is just showing the newest articles, you could imagine having a recommendation board available here that shows the articles that are most pertinent to a specific user.
In order to determine which articles to show to each user, this notebook performed a study of the data available on the IBM Watson Studio platform.
Reccomendation_with_IBM.ipynb : Jupyter notebook containing all the codes and results
Reccomendation_with_IBM.html : notebbok in html format
data.csv : 2 datasets I used in the notebook
I built a reccomendation engine as instructed, but there are some improvements can be made too. Details is in the notebook.
Data: included in this repo
Authors: To the Notebbok