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Question 39 - DSA-C02 discussion

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Select the Correct Statements regarding Normalization?

A.
Normalization technique uses minimum and max values for scaling of model.
Answers
A.
Normalization technique uses minimum and max values for scaling of model.
B.
Normalization technique uses mean and standard deviation for scaling of model.
Answers
B.
Normalization technique uses mean and standard deviation for scaling of model.
C.
Scikit-Learn provides a transformer RecommendedScaler for Normalization.
Answers
C.
Scikit-Learn provides a transformer RecommendedScaler for Normalization.
D.
Normalization got affected by outliers.
Answers
D.
Normalization got affected by outliers.
Suggested answer: A, D

Explanation:

Normalization is a scaling technique in Machine Learning applied during data preparation to change the values of numeric columns in the dataset to use a common scale. It is not necessary for all datasets in a model. It is required only when features of machine learning models have different ranges.

Scikit-Learn provides a transformer called MinMaxScaler for Normalization.

This technique uses minimum and max values for scaling of model.It is useful when feature distribution is unknown.It got affected by outliers.

asked 23/09/2024
Ervin Loong
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