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Top 25 Logistic Regression Interview Questions

Entry Junior Mid Senior Expert
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Learning Progress:
Logistic Regression Theoretical Questions
Q1:   

When Logistic Regression can be used?

  
Add to PDF   Junior 
Q2:   

How would you make a prediction using a Logistic Regression model?

  Related To: Classification
Add to PDF   Junior 
Q3:   

What is a Decision Boundary?

  Related To: Classification
Add to PDF   Junior 
Q4:   

Why is Logistic Regression called Regression and not Classification?

  
Add to PDF   Junior 
Q5:   

In Logistic Regression, why is the Binary Cross-Entropy loss function convex?

  
 Add to PDF   Mid 
Q6:   

What is the difference between Linear Regression and Logistic Regression?

  Related To: Linear Regression
 Add to PDF   Mid 
Q7:   

How do you use a supervised Logistic Regression for Classification?

  Related To: Classification, Supervised Learning
 Add to PDF   Mid 
Q8:   

What's the difference between Softmax and Sigmoid functions?

  Related To: Classification
 Add to PDF   Mid 
Q9:   

How a Logistic Regression model is trained?

  
 Add to PDF   Mid 
Q10:   

Why don’t we use Mean Squared Error as a cost function in Logistic Regression?

  Related To: Cost Function
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Q11:   

What can you infer from each of the hand drawn decision boundary of Logistic Regression below?

  
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Q12:   

Compare SVM and Logistic Regression in handling outliers

  Related To: SVM, Anomaly Detection
 Add to PDF   Mid 
Q13:   

Why can't a Linear Regression be used instead of Logistic Regression?

  Related To: Linear Regression
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Q14:   

Why is Logistic Regression considered a Linear Model?

  
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Q15:   

Provide a mathematical intuition for Logistic Regression?

  
 Add to PDF   Mid 
Q16:   

Imagine that you know there are outliers in your data, would you use Logistic Regression?

  Related To: Anomaly Detection, Random Forest, Decision Trees
 Add to PDF   Senior 
Q17:   

How can we avoid Over-fitting in Logistic Regression models?

  
 Add to PDF   Senior 
Q18:   

Name some advantages of using Support Vector Machines vs Logistic Regression for classification

  Related To: SVM, Classification
 Add to PDF   Senior 
Q19:   

When would you use SVM vs Logistic regression?

  Related To: SVM, Classification
 Add to PDF   Senior 
Q20:   

Explain the Space Complexity Analysis of Logistic Regression

  
 Add to PDF   Senior 
Q21:   

Compare Naive Bayes vs with Logistic Regression to solve classification problems

  Related To: Classification, Naïve Bayes
 Add to PDF   Senior 
Q22:   

Explain the Vectorized Implementation of Logistic Regression?

  
 Add to PDF   Senior 
Q23:   

Compare Decision Trees and Logistic Regression

  Related To: Decision Trees
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Q24:   

Can Logistic Regression be used for an Imbalanced Classification problem?

  Related To: Classification
 Add to PDF   Expert 
Logistic Regression Practical Challenges
Q1:   

How would you train Logistic Regression? Implement in Python

 PY Related To: Python
  Add to PDF   Senior 
 
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