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Recommendation Engine for IBM Articles

Summary:

The notebook shows several different recommendation engines used to rank articles that can be shown to users. It includes a content based approach, a collaborative filtering based approach, and SVD. Project was completed as part of the Udacity Data Scientist Nanodegree.

Required packages:

  • pandas
  • nltk
  • jupyter # If you want to view the notebooks
  • scikit-learn
  • matplotlib
  • numpy

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Different methods for recommending articles

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