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Concept
Quantile Transformation
Quantile Transformation
is a
statistical technique
used to map data to a
uniform distribution
by transforming each feature to follow a specified distribution, often a
normal distribution
. This method is particularly useful in
machine learning
to reduce the
impact of outliers
and ensure that
different features
have
similar scales
, improving
model performance
and convergence.
Relevant Degrees
Probability and Statistics 70%
Data Management and Processing 30%
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