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Data Science Interview Questions › Category: Data Science
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Do gradient descent methods at all times converge to similar point?
MockInterview asked 5 years ago • 
935 views3 answers-1 votes
BOTH BEING TREE BASED ALGORITHM, HOW IS RANDOM FOREST DIFFERENT FROM GRADIENT BOOSTING ALGORITHM (GBM)?
MockInterview asked 4 years ago • 
35042 views2 answers0 votes
What is the curse of dimensionality?
MockInterview asked 5 years ago • 
830 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 5 years ago • 
1597 views2 answers0 votes
MNC Case study
Anam Fatima asked 8 months ago • 
214 views0 answers0 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 • 
3301 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 10 months ago • 
1061 views0 answers0 votes
What is relation between Bagging-Boosting and Bias-Variance?
MockInterview asked 3 years ago • 
716 views2 answers0 votes
What is standard error? Explain with example.
Paras Doshi asked 3 years ago • 
1006 views1 answers0 votes
What is the difference between margin of error and confidence interval?
Paras Doshi asked 3 years ago • 
1030 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 1 year ago • 
11517 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 • 
9552 views6 answers0 votes
What is selection bias, why is it important and how can you avoid it?
MockInterview asked 5 years ago • 
3155 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 2 years ago • 
446 views1 answers0 votes
[Facebook SQL data science and data engineer] Evaluate the performance of ads campagins through fill rate
MockInterview asked 2 years ago • 
529 views1 answers0 votes
[SQL] use correlated subquery to find all employees whose salary is above average for their department
MockInterview asked 2 years ago • 
547 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 2 years ago • 
1641 views1 answers0 votes
What does the term 'multiple testing' relate to?
MockInterview asked 2 years ago • 
476 views1 answers0 votes
[Amazon interview] what is the difference between random forest vs cart tree; XGBoost vs RF?
MockInterview asked 2 years ago • 
629 views0 answers0 votes
[Amazon interview] What is a p-value? What are its shortcomings?
MockInterview asked 2 years ago • 
631 views0 answers0 votes
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