Course Content

  • 2_3_Handling_Missing_Data

Course Content


  • Subtractions. Deletion in pairs. Row Dropping/Listwise Deletion Complete columns are being removed.
  • Fundamental Imputation Techniques Imputation with a fixed value. Imputation
  • making use of statistics (mean, median, mode) Imputation of the K-Nearest Neighbor.

  • Substituting an arbitrary value.
  • Mode Replacement.
  • Substituting Median
  • Forward filling with the previous value
  • Backward filling with the following value
  • Determine the Most Frequent Value.

  • The first method is to delete rows or columns. When it comes to empty cells, we normally employ this strategy.
  • The second method is to replace missing data with aggregated values.
  • The Three Method involves the creation of an unknown category.
  • The Four Method is used to forecast missing values.

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