Machine learning workflow

To build an initial model, our workflow includes several steps:

  1. Data load and preprocessing, often referenced as extract-transform-load (ETL).
    • Load
    • Parse
    • Handle missing values
  2. Unify data into a form expected by an algorithm.
    • Model training
    • Model evaluation
    • Model deployment
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