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Summary

Summary

In this learning path, you learned the concepts and topics of machine learning, then applied them by building models and using them in apps. This learning path covered:

  • Supervised versus unsupervised learning
  • Data exploration and preprocessing
  • Classification models
  • Linear regression
  • Classification-based machine learning problems
  • Clustering algorithms

Next steps

Continue your learning and building your machine learning skills with more how-to tutorials and articles on the IBM Developer machine learning hub.