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Clustering Demystified
course content

Course Content

Clustering Demystified

Clustering Demystified

IntroductionImport Necessary Libraries and DataPreliminary AnalysisData PreparationDeclare Feature Vector and Target VariableConvert Categorical Variable into IntegersFeature ScalingK-Means Model with 2 ClustersCheck the QualityHow many Clusters?K-Means Model with 4 Clusters

K-Means Model with 4 Clusters

Let's try to improve clustering results using the split on 4 separate clusters.

Task

  1. Evaluate the KMeans with 4 clusters.
  2. Fit the algorithm.

Task

  1. Evaluate the KMeans with 4 clusters.
  2. Fit the algorithm.

Congratulations on completing the Clustering Project!

Mark tasks as Completed
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Everything was clear?

Let's try to improve clustering results using the split on 4 separate clusters.

Task

  1. Evaluate the KMeans with 4 clusters.
  2. Fit the algorithm.

Congratulations on completing the Clustering Project!

Mark tasks as Completed
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 11
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