• 8.4: Training and Testing

    • Clustering with scikit-learn Page

      It is time to put together concepts from this and the previous unit. This tutorial uses k-NN as the classifier, given clustering results from the K-means algorithm. In essence, an unsupervised method is used as the input to a method that requires supervised data.

    • Putting It All Together Page

      This tutorial is a culminating project that combines the concepts (clustering, dimensionality reduction, cluster evaluation, and visualization) presented in this unit. Work through the programming examples to ensure you have a complete understanding.