3. Data Prep

  1. Click on Data Prep in the Machine Learning category.

  1. Model Type: You can perform various preprocessing tasks:

    • Encoding

    • Scaling

    • ETC

  2. Allocate to: Assign variable names for the model to perform the selected preprocessing tasks.

  3. Code View: Preview the code that will be output.

  4. Run: Execute the code.

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