This repository contains the files for project submission of the Recommendations with IBM project. This project is part of Udacity's Data Science Nanodegree.

The goal of the project is to perform article recommendations to users of IBM Watson Studio. This will be done in the following steps:

1. Exploratory Data Analysis
2. Rank Based Recommendations
3. User-User Based Collaborative Filtering
4. Content Based Recommendations
5. Matrix Factorization
6. Extras & Concluding

To view project open in jupyter notebooks the file Recommendations_with_IBM.ipynb or open the html file Recommendations_with_IBM.html. The notebook is self-explanatory.