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

Preliminary AnalysisPreliminary Analysis

The task is completed!

TaskCompleted

  1. Print the shape of your data;
  2. Check for any NaN value.

Everything was clear?

Section 1. Chapter 3