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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

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K-Means Model with 4 Clusters

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

Task

Swipe to start coding

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

Solution

Congratulations on completing the Clustering Project!

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Section 1. Chapter 11
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