Machine Learning with Imbalanced Data

[TUTProfessor]

TUTProfessor submitted a new resource:

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

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...

Read more about this resource...

 

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