Technical Question Library

Data Science Methodology Medium

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the primary purpose of performing log transformation on a highly right-skewed feature?

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Data Science Methodology Medium

Artificial Intelligence & Machine Learning → Data Science Methodology

Which encoding technique is most appropriate for an ordinal categorical variable with a clear inherent ranking?

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Data Science Methodology Medium

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the effect of applying `RobustScaler` to a dataset containing significant outliers?

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Data Science Methodology Medium

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the primary advantage of using median imputation over mean imputation for a feature with a skewed distribution?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

Why is it critical to fit a scaler only on the training set before transforming the test set?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the primary reason for applying a Yeo-Johnson transformation instead of a Box-Cox transformation?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

Which effect occurs when applying One-Hot Encoding to a categorical variable with high cardinality?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the primary risk of using MICE (Multivariate Imputation by Chained Equations) on a dataset with high multicollinearity?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

Which consequence arises from applying Min-Max scaling to a feature containing significant outliers?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

from sklearn.preprocessing import StandardScaler scaler = StandardScaler(with_mean=False) scaler.fit_transform(X) What is the effect of setting with_mean=False?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

Which scenario necessitates the use of Box-Cox transformation over a simple Log transformation?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

Why is Target Encoding prone to data leakage during the model training process?

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Data Science Methodology Hard

Artificial Intelligence & Machine Learning → Data Science Methodology

Which imputation strategy is most appropriate for a feature exhibiting Missing Not At Random (MNAR) behavior?

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Data Science Methodology Easy

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the primary consequence of dropping rows with missing values?

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Data Science Methodology Easy

Artificial Intelligence & Machine Learning → Data Science Methodology

Which method is used to remove duplicate rows from a pandas DataFrame?

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Data Science Methodology Easy

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the result of applying mean imputation to a dataset with missing values?

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Data Science Methodology Easy

Artificial Intelligence & Machine Learning → Data Science Methodology

Which technique is used to convert categorical variables into binary columns?

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Data Science Methodology Easy

Artificial Intelligence & Machine Learning → Data Science Methodology

What is the primary purpose of data normalization in a machine learning pipeline?

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