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‘Feature Engineering’ Interview Questions

What are some common feature engineering techniques?

What is the difference between Feature Engineering and Feature Selection?

What is Feature Scaling? Explain the different feature scaling techniques

What is the purpose of feature selection, and what are some common approaches?

What is Feature Standardization (or Z-Score Normalization), and why is it needed?

How are Categorical Features represented? (Explain both one-hot and ordinal encoding)

What does Centering and Scaling mean? What is the individual effect of each of those?

What are different ways to impute missing values for a feature?

What are the different categories of missing data?

What is Max Absolute Scaler? Compare it with MinMax Normalization? Why scaling to [-1, 1] might be better than [0, 1] scaling?

What is MinMax Normalization? Compare MinMax Normalization with Z-Score Standardization

Among the common machine learning algorithms, which require feature scaling, and which do not?

How to perform Standardization in case of outliers?

What is the problem with storing sparse two-dimensional training data (feature_vector x n_sample)? What is a space optimal way to store such a matrix?

What is Data Sparsity?

What is Data Leakage?

What is Normalization?

Discuss Discretization in the context of feature engineering

Discuss Timestamp Date Extraction in the context of feature engineering

Discuss text feature extraction in the context of feature engineering

Discuss Ordinal encoding in the context of feature engineering

Discuss Dummy encoding in the context of feature engineering

What is Feature Engineering?

What do you mean by noise in the dataset?

What is Expectation-Maximization?

What is Nearest Neighbor Imputation?

What is Extreme Value Imputation?

What is Mode Imputation?

What is Mean Imputation?

What is Discretization? When is doing discretization better as opposed to using continuous variable?

What is Feature Binarization? When to use feature binarization?

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‘Feature Engineering’ Interview Questions