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Lesson 6 - Unsupervised Learning and Recommendations

Machine Learning with Python: Zero to GBMs

This lesson covers the following topics:

  • Overview of unsupervised learning algorithms in Scikit-learn
  • Clustering algorithms: K Means, DBScan, Hierarchical clustering, etc.
  • Dimensionality reduction (PCA) and manifold learning (t-SNE)
  • Creating a recommender system using collaborative filtering

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