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Feature Engineering Interview Questions and Answers
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Questions
Feature Engineering
+1
vote
Q: Can you explain what dimensionality reduction is?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
dimensionality-reduction
+1
vote
Q: What are some good rules of thumb for applying transformations to numeric data?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
transformations
numeric-data
+1
vote
Q: What is the best way to select features in supervised learning problems?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
supervised
learning
problems
+1
vote
Q: How do you handle mixed-type data types in Python?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
mixed-type-data-types
+1
vote
Q: What does it mean to bin numerical data? When should we use this technique?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
bin-numerical-data
+1
vote
Q: Can you give me an example of where feature scaling would be required?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
feature-scaling
+1
vote
Q: What are some methods available for selecting features from a large dataset?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
features
+1
vote
Q: Do all features need to be scaled when using machine learning algorithms?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
machine
learning
algorithms
+1
vote
Q: How can imbalanced datasets affect machine learning models?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
machine-learning-models
+1
vote
Q: What are some ways to deal with sparse data?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
sparse-data
+1
vote
Q: What are some different techniques for dealing with categorical variables?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
techniques-features
+1
vote
Q: If there are two correlated variables, which one should you keep?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
correlated-variables
+1
vote
Q: What’s the difference between feature extraction and feature selection? When should each one be used?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
feature-selection
+1
vote
Q: What can be done if you find that most of your features have no predictive power on your target variable?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
predictive-power
+1
vote
Q: Can you explain how overfitting happens during model training?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
overfitting
model-training
+1
vote
Q: How do you overcome challenges with missing data?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
missing
-data
+1
vote
Q: What are some common ways to gather domain knowledge?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
domain
knowledge
+1
vote
Q: Why is it important to understand your data before starting a project?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
project-data
+1
vote
Q: Can you explain what the term “feature” means in machine learning?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
feature
machine
learning
+1
vote
Q: What is feature engineering?
answered
Apr 4, 2023
in
Feature Engineering
by
john ganales
feature
engineering
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