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

Import Necessary Libraries and DataImport Necessary Libraries and Data

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TaskCompleted

  1. Import numpy, pandas, matplotlib.pyplot and seaborn (as np, pd, plt, and sns, respectively);
  2. Read the "Live.csv" file;
  3. Show the first 5 rows of the dataset.

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Section 1. Chapter 2