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Data Science Interview Questions › Category: Data Science
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BOTH BEING TREE BASED ALGORITHM, HOW IS RANDOM FOREST DIFFERENT FROM GRADIENT BOOSTING ALGORITHM (GBM)?
MockInterview asked 4 years ago • 
34884 views2 answers0 votes
What is the curse of dimensionality?
MockInterview asked 5 years ago • 
688 views2 answers-1 votes
You are assigned a new project which involves helping a food delivery company save more money. The problem is, company’s delivery team aren’t able to deliver food on time. As a result, their customers get unhappy. And, to keep them happy, they end up delivering food for free. Which machine learning algorithm can save them?
MockInterview asked 4 years ago • 
1394 views2 answers0 votes
MNC Case study
Anam Fatima asked 3 months ago • 
80 views0 answers0 votes
Do gradient descent methods at all times converge to similar point?
MockInterview asked 5 years ago • 
780 views2 answers-1 votes
[Probability] There are four people in a room that haven't met before. They are told to shake hands, exactly once, of every other person in the room so that they all meet each other. If each of these people shake their hands with every other person exactly once then how many handshakes are going to occur?
MockInterview asked 5 years ago • 
3002 views8 answers0 votes
How would you validate a model you created to generate a predictive model of a quantitative outcome variable using multiple regression.
MockInterview answered 5 months ago • 
901 views0 answers0 votes
What is relation between Bagging-Boosting and Bias-Variance?
MockInterview asked 3 years ago • 
556 views2 answers0 votes
What is standard error? Explain with example.
Paras Doshi asked 3 years ago • 
875 views1 answers0 votes
What is the difference between margin of error and confidence interval?
Paras Doshi asked 3 years ago • 
911 views1 answers0 votes
Case study: Walk me through how would you predict who will renew their subscription next month? What data would you need to solve this? What analysis would you do? Would you build predictive models? If so, which algorithms?
MockInterview answered 9 months ago • 
11162 views3 answers0 votes
[Probability] There are 50 cards of 5 different colors. It comprises of 10 Red cards, 10 blue cards, 10 orange cards, 10 green cards and 10 yellow cards. Each color will have the cards numbered between 1 to10. You pick 2 cards at random. What is the probability that they are not of same color and not of same number.
MockInterview asked 5 years ago • 
8835 views6 answers0 votes
What is selection bias, why is it important and how can you avoid it?
MockInterview asked 5 years ago • 
2923 views2 answers0 votes
Coding Interview: Write a function that, given a string representing a sentence, returns the sentence with the words in the same order but the letter in each word reversed.
python asked 1 year ago • 
346 views1 answers0 votes
[Facebook SQL data science and data engineer] Evaluate the performance of ads campagins through fill rate
MockInterview asked 1 year ago • 
399 views1 answers0 votes
[SQL] use correlated subquery to find all employees whose salary is above average for their department
MockInterview asked 1 year ago • 
425 views2 answers0 votes
You're a data scientist at a prominent logistics company. Your team has estimated that on average the company experiences 0.1 equipment failures per day. What is the most suitable distribution that you could use to model equipment failures for 365 days?
MockInterview asked 1 year ago • 
1120 views1 answers0 votes
What does the term 'multiple testing' relate to?
MockInterview asked 1 year ago • 
386 views1 answers0 votes
[Amazon interview] what is the difference between random forest vs cart tree; XGBoost vs RF?
MockInterview asked 2 years ago • 
535 views0 answers0 votes
[Amazon interview] What is a p-value? What are its shortcomings?
MockInterview asked 2 years ago • 
523 views0 answers0 votes
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