Explain batch normalizations and why we use it
Data Intern Interview Questions
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Case study about telemetry data and EDA
tons of machine learning cases
Explain different regression methods, explain gini coefficient, explain different loss functions and compare them etc
what is p-value? what do you do about ML? what is your last project?
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?
behavior assessment and case study
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