The _______ step in the Data Science Life Cycle is crucial for understanding how the final model will be integrated and used in the real world.

  • Data Exploration
  • Data Preprocessing
  • Model Deployment
  • Data Visualization
The "Model Deployment" step in the Data Science Life Cycle is essential for taking the data science model from development to production. It involves integrating the model into real-world applications, making it a crucial phase.
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