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In a time interval of 15-minutes, the probability that you may see a shooting star or a bunch of them is 0.2. What is the percentage chance of you seeing at least one star shooting from the sky if you are under it for about an hour? Suppose you have a medical test for a rare disease that is 99% accurate. If the disease occurs in 1% of the population, what is the probability that someone who tests positive actually has the disease?
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Senior Data Scientist

Interviewed at Microsoft

4★
May 1, 2024

In a time interval of 15-minutes, the probability that you may see a shooting star or a bunch of them is 0.2. What is the percentage chance of you seeing at least one star shooting from the sky if you are under it for about an hour? Suppose you have a medical test for a rare disease that is 99% accurate. If the disease occurs in 1% of the population, what is the probability that someone who tests positive actually has the disease?

difference between regression and classification then what is difference between linear and logistic if logitistic regression is classifying why is it called regression evaluation metrics for linear regression. difference between rsquare and adjusted rsquare? what if an irrelevant feature is kept will it increase rquare or will it stay the same? what does rsquare tells you? how does rsquare works or how does it behaves? if the rsquare is 0.8 what does it mean? what are we interpreting from 0.8 which of the l1 and l2 is direction based? what are the advantages and disdadvantages of kmeans clustering? what are the methods to determine optimum k? what does silhouette score mean how it works? why it is called elbow method? how are you going to pass categorical feature to kmeans clustering? if you have 100 features are you going to pass it directly or what will you do? consider two tables a and b, table a has 10 rows, table b has 20 rows. both have ID column to match on. If I do the inner join what is the minimum and maximum number of rows that we will get? select 3 from employee - what will this print [{}({)}] how to balance the brackets using python? what in this case - [{}()]?
avatar

Senior Data Scientist

Interviewed at Tredence

3.9★
Oct 8, 2024

difference between regression and classification then what is difference between linear and logistic if logitistic regression is classifying why is it called regression evaluation metrics for linear regression. difference between rsquare and adjusted rsquare? what if an irrelevant feature is kept will it increase rquare or will it stay the same? what does rsquare tells you? how does rsquare works or how does it behaves? if the rsquare is 0.8 what does it mean? what are we interpreting from 0.8 which of the l1 and l2 is direction based? what are the advantages and disdadvantages of kmeans clustering? what are the methods to determine optimum k? what does silhouette score mean how it works? why it is called elbow method? how are you going to pass categorical feature to kmeans clustering? if you have 100 features are you going to pass it directly or what will you do? consider two tables a and b, table a has 10 rows, table b has 20 rows. both have ID column to match on. If I do the inner join what is the minimum and maximum number of rows that we will get? select 3 from employee - what will this print [{}({)}] how to balance the brackets using python? what in this case - [{}()]?

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