Context

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Learned in this study

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Things to explore

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Overview

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• This assumes a supervised problem such as
• Classification
• Regression

Process

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• Determine needs
• Collect datasets
• Clean datasets
  • Remove invalid rows
  • Impute missing values
  • Correct data
• Merge datasets
• Create dataset relevant to the problem
• Generate features
• Define the metric to optimize
• Train and evaluate various models on the provided dataset
  • In certain domains, evaluate the model against a baseline
• Analyze the produced predictions
  • Worst offenders analysis
• Generate a list of improvements suggestions
• Prioritize the improvement suggestions
• Implement the improvement suggestions

Notes

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See also

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References

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