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Data science study and answers and questions mcq type
I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
I applied via Recruitment Consultant and was interviewed in Sep 2020. There were 3 interview rounds.
I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
Explain dynamic programming with memoization
Code to identify prime numbers between two given numbers.
Create a function that takes two numbers as input.
Loop through the range of numbers between the two inputs.
Check if each number is divisible by any number other than 1 and itself.
If not, add it to a list of prime numbers.
Return the list of prime numbers.
I applied via Naukri.com and was interviewed in May 2022. There were 3 interview rounds.
I applied via LinkedIn and was interviewed in Dec 2021. There were 3 interview rounds.
Aptitude tests measure a person's logical reasoning skills and mental ability. During an aptitude test, test-takers must answer questions designed to assess their diagrammatic reasoning, mechanical reasoning, numerical reasoning and verbal reasoning skills.they test your ability,time management and accuracy during test ..
Awareness of Topics Relating to Your Background Is Crucial.
The most thought-provoking way to start a group discussion is to ask a question or add a famous and relevant quote to the topic. You can simply grab the attention of everyone as an initiator and thus lead a powerful group discussion by using a question on the topic.
It consisted of a single coding question.
I applied via Recruitment Consulltant and was interviewed in Feb 2024. There was 1 interview round.
L1 and L2 regularization are techniques used in machine learning to prevent overfitting by adding penalty terms to the cost function.
L1 regularization adds the absolute values of the coefficients as penalty term to the cost function.
L2 regularization adds the squared values of the coefficients as penalty term to the cost function.
L1 regularization can lead to sparse models by forcing some coefficients to be exactly zer...
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