what are the pros and cons to zscore a dataset before normalize it during feature engineering?
$begingroup$
normalization is a common feature engineering technique. but this post standardize(zscore) a dataset before normalize it.
I think that would result in losing some info in data.
what are the pros and cons to do this?
machine-learning feature-engineering
asked 5 mins ago
fu DLfu DL
83
$endgroup$
add a comment |
$begingroup$
normalization is a common feature engineering technique. but this post standardize(zscore) a dataset before normalize it.
I think that would result in losing some info in data.
what are the pros and cons to do this?
machine-learning feature-engineering
asked 5 mins ago
fu DLfu DL
83
$endgroup$
add a comment |
$begingroup$
normalization is a common feature engineering technique. but this post standardize(zscore) a dataset before normalize it.
I think that would result in losing some info in data.
what are the pros and cons to do this?
machine-learning feature-engineering
asked 5 mins ago
fu DLfu DL
83
$endgroup$
normalization is a common feature engineering technique. but this post standardize(zscore) a dataset before normalize it.
I think that would result in losing some info in data.
what are the pros and cons to do this?
machine-learning feature-engineering
machine-learning feature-engineering
asked 5 mins ago
fu DLfu DL
83
asked 5 mins ago
fu DLfu DL
83
asked 5 mins ago
fu DLfu DL
83
asked 5 mins ago
fu DLfu DL
83
asked 5 mins ago
fu DLfu DL
83
83
add a comment |
add a comment |
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