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10_Missing_Value_Handling_solution

Data manipulationPreprocessingMissing valueMCARMAR
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Oct 29, 2024 5:36 AM
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Missing Value Handling - solution

Introduction to Machine Learning Algorithms course - Session 4
Solution to exercise 2
Handle missing values in the data by
- Setting them to a fixed value (zero)
- Generating a dummy column based on missing values in another column
- Replacing them with the column mean or the most frequent value in the column
- Looking for different missing value patterns in the data
- Filtering out columns that have many missing values

External resources

  • Slides (Introduction to ML Algorithms course)
  • Ames Housing Dataset on kaggle
  • Description of the Ames Iowa Housing Data
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