Data Preparation

Data Preparation

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Sample Topics

  • Cleaning and standardizing data
  • Handling missing values
  • Handling outliers
  • Handling nonlinearities and interactions
  • Discretization and binning
  • Feature engineering
  • Feature selection
  • Record linkage
  • Data leakage, data drift and concept drift
A screenshot from an example question.

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