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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 • 
1051 views3 answers-2 votes
BOTH BEING TREE BASED ALGORITHM, HOW IS RANDOM FOREST DIFFERENT FROM GRADIENT BOOSTING ALGORITHM (GBM)?
MockInterview asked 4 years ago • 
35125 views2 answers0 votes
What is the curse of dimensionality?
MockInterview asked 6 years ago • 
903 views2 answers0 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 • 
1704 views2 answers0 votes
MNC Case study
Anam Fatima asked 11 months ago • 
366 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 6 years ago • 
3451 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 1 year ago • 
1124 views0 answers0 votes
What is relation between Bagging-Boosting and Bias-Variance?
MockInterview asked 4 years ago • 
783 views2 answers0 votes
What is standard error? Explain with example.
Paras Doshi asked 3 years ago • 
1071 views1 answers0 votes
What is the difference between margin of error and confidence interval?
Paras Doshi asked 3 years ago • 
1083 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 • 
11718 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 6 years ago • 
9941 views6 answers0 votes
What is selection bias, why is it important and how can you avoid it?
MockInterview asked 6 years ago • 
3246 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 • 
500 views1 answers0 votes
[Facebook SQL data science and data engineer] Evaluate the performance of ads campagins through fill rate
MockInterview asked 2 years ago • 
593 views1 answers0 votes
[SQL] use correlated subquery to find all employees whose salary is above average for their department
MockInterview asked 2 years ago • 
611 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 • 
2068 views1 answers0 votes
What does the term 'multiple testing' relate to?
MockInterview asked 2 years ago • 
521 views1 answers0 votes
[Amazon interview] what is the difference between random forest vs cart tree; XGBoost vs RF?
MockInterview asked 2 years ago • 
673 views0 answers0 votes
[Amazon interview] What is a p-value? What are its shortcomings?
MockInterview asked 2 years ago • 
678 views0 answers0 votes
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