Data preprocessing - Deepstash

Data preprocessing

In the preprocessing step, you transform valid, clean data into the format that best suits the needs of your model. Here are some examples of data preprocessing:

  • Normalizing numeric data to a common scale.
  • Applying formatting rules to data. For example, removing the HTML tagging from a text feature.
  • Reducing data redundancy through simplification. For example, converting a text feature to a bag of words representation.
  • Representing text numerically. For example, assigning values to each possible value in a categorical feature.
  • Assigning key values to data instances.

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