what is p-value? what do you do about ML? what is your last project?
Data Intern Interview Questions
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HR call: commonly seen behaviora qiestions Virtual onsite: case studies
Questions were based on my resume only
They asked about basic ML concepts/models, quizzing you to explain. There is also some research probe problem as well.
Devise an algorithm/model that accepts text as an input (social media posts) and needs to determine whether it is fake or not. The dataset at your disposal, which should be used for training, has additional information about each post (like the number of comments). In some cases, some of the data is missing, How would you handle something like this?
general interview questions, asked some math questions
behavior assessment and case study
What is the relationship between recall and precision? What happens when there is a huge discrepancy between the 2?
How do you handle the big data problem? How did you apply this in your own research?
If you can change one thing at work, what will it be and why?
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