Build a recommendation system using IBM Watson Studio platform.
This project analyzes the interactions that users have with articles on the IBM Watson Studio platform, and the goal of this project is to create a recommendation system that shows the articles that are most relevant to a specific user.
The repository contains a Jupyter notebook with the analysis and a copy of it in html format along with test scripts used in the notebook. The tasks involved are Exploratory Data Analysis, Rank Based Recommendations, User-Based Colloborative Filtering and SVD-Matrix Factorization.
Thank you IBM and Udacity for providing an opportunity to work on this project!