Data Science Interview Questions

Welcome to MockInterview.co‘s Data Science Interview Questions library! (300+ questions & growing)

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  1. Prepare: You can browse through these questions set to prepare for your data science interviews.
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  3. Post Answers: you can post your answers to get feedback from the community.

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Filter:AllUnanswered
Explain L1 Manhattan distance and L2 Euclidean distance metrics and some of their applications
MockInterview asked 2 years ago • 
557 views1 answers0 votes
Is high-dimensional a blessing or curse? why?
MockInterview asked 2 years ago • 
440 views1 answers0 votes
Why would you want to use Regularization?
MockInterview asked 4 years ago • 
705 views2 answers0 votes
Can you give me an overview of Linear regression? When will you use Lasso & Ridge Regression?
MockInterview asked 2 years ago • 
588 views1 answers0 votes
What are the drawbacks of linear model? Are you familiar with alternatives (Lasso, ridge regression)?
MockInterview asked 4 years ago • 
648 views1 answers0 votes
Explain Bayesian A/B Testing method
MockInterview asked 2 years ago • 
405 views1 answers0 votes
if there's a sufficiently large dataset with enough variance and you asked k-means clustering algo to come back with 6 clusters, will it ever fail?
MockInterview asked 2 years ago • 
470 views1 answers0 votes
Case study: How would you investigate a Drop in User Engagement?
MockInterview asked 4 years ago • 
8813 views2 answers0 votes
What is the difference between running an A/B test through Frequentist methods vs Bayesian methods?
MockInterview asked 2 years ago • 
375 views0 answers0 votes
When would you use random Forest vs logistic regression for binary classification problem?
Paras Doshi asked 2 years ago • 
377 views0 answers0 votes
[Probability] We have two options for serving ads within Newsfeed : 1 – out of every 25 stories, one will be an ad 2 – every story has a 4% chance of being an ad For each option, what is the expected number of ads shown in 100 news stories? If we go with option 2, what is the chance a user will be shown only a single ad in 100 stories? What about no ads at all? (Asked in Facebook Interview)
MockInterview asked 4 years ago • 
2348 views2 answers0 votes
What is K-means? How can you select K for K-means?
Paul asked 4 years ago • 
565 views2 answers0 votes
What is P-Value?
MockInterview asked 4 years ago • 
495 views1 answers0 votes
How can we choose a "good" K for K-means clustering?
MockInterview asked 4 years ago • 
577 views1 answers0 votes
Which Clustering methods you are familiar with? Walk me through the methodology.
MockInterview asked 4 years ago • 
401 views1 answers0 votes
Explain what precision and recall are. How do they relate to the ROC curve?
MockInterview asked 4 years ago • 
569 views2 answers0 votes
What/when is the latest data mining book / article you read? What/when is the latest data mining conference / webinar / class / workshop / training you attended? What/when is the most recent programming skill that you acquired?
MockInterview asked 4 years ago • 
327 views1 answers0 votes
What are some advantages of using a random forest over a decision tree given that a decision tree is simple?
Paras asked 4 years ago • 
641 views1 answers0 votes
What are methods to make a predictive model more robust to outliers?
DS asked 4 years ago • 
1363 views1 answers0 votes
Explain for a non-technical person what cross validation is
Paras asked 4 years ago • 
707 views1 answers0 votes
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