Recommendations with IBM

Table of Contents

• 1. Installation
• 2. Project Motivation
• 3. Results
• 4. Acknowledgments

1. Installation

To run the code successfully, make sure we have these libraries installed in our Python environment:

• python 3.6+
• pandas
• numpy
• matplotlib
• pickle

2. Project Motivation

This is the third project from Udacity "Data Science Nanodegree Program" that contains different recommender systems that suggest articles to new and returning users. These systems use real data from the IBM Watson Studio platform to offer personalized article recommendations. By exploring the code and resources, we can learn about the implementation of these recommendation algorithms and gain insights into how article recommendations work.

3. Results

You can look results and explore more from here:

1. Recommendations_with_IBM.html
2. Recommendations_with_IBM.ipynb

4. Acknowledgements

• Thanks to IBM Watson Studio platform for providing the dataset.
• Also Udacity which granted access to this dataset.