Data Pre-processing using Scikit-learn

  1. Data Encoding
  2. Normalization
  3. Standardization
  4. Imputing the Missing Values
  5. Discretization
  • Rescaling Data
  • Standardizing Data
  • Normalizing Data
  • Binarizing Data
  • Mean Removal
  • One Hot Encoding
  • Label Encoding
  • Describing the dataset
  • Shape of the dataset
  • Extracting data from the dataset
  • Performing operations around a variable

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