Machine Learning with Imbalanced Data

Machine Learning with Imbalanced Data

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TUTProfessor

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Machine Learning with Imbalanced Data - Learn multiple techniques to tackle data imbalance and improve the performance of your machine learn

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Learn multiple techniques to tackle data imbalance and improve the performance of your machine learning models.

What you'll learn
  • Under-sampling methods at random
  • Under-sampling methods which focus on observations that are harder to classify
  • Under-sampling methods that ignore potentially noisy observations
  • Over-sampling methods to increase the number of minority observations
  • Ways of creating syntethic...

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