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The Art of Data Preparation: Building Strong Foundations for ML

  • Data preparation is often the unsung hero behind successful machine learning models.
  • It involves transforming raw data into a form that can be effectively used for analysis and ML algorithms.
  • Data preparation accounts for up to 80% of the time spent on an ML project.
  • AWS provides tools like SageMaker Data Wrangler and Ground Truth Plus to streamline data preparation workflows.

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