course content

Course Content

Python Clustering Demystified: Exploring Data Groups

1. Clustering

IntroductionImport Necessary Libraries and DataPreliminary AnalysisData PreparationDeclare Feature Vector and Target VariableConvert Categorical Variable into IntegersFeature ScalingK-Means Model with Two ClustersCheck the QualityHow many Clusters?K-Means Model with 4 Clusters

Python Clustering Demystified: Exploring Data Groups

Check the QualityCheck the Quality

Now that we have trained our clutering algorithm we have to evaluate its performances in order to assess the results.

The task is completed!

TaskCompleted

  1. Compare the correct_labels with the predicted ones;
  2. Print the results.

Everything was clear?

Section 1. Chapter 9