Recommendations with IBM Udacity - DSND - Recommendation Engines Summary: This project analyzes the interactions that users have with various articles on the IBM Watson Studio platform and suggests new articles they might like. Work File : Recommendations_with_IBM.ipynb Data: articles_community.csv user-item-interactions.csv Stages: I. Exploratory Data Analysis II. Rank Based Recommendations III. User-User Based Collaborative Filtering IV. Content Based Recommendations V. Matrix Factorization Packages required: pandas numpy nltk scikit-learn matplotlib