K fold cross validation
Data Scientist Machine Learning Interview Questions
467 data scientist machine learning interview questions shared by candidates
I was asked to solve a coding problem involving strings and palindromes. The interviewer mentioned that time complexity didn’t matter; the only expectation was to provide a working solution without errors, no explanation required.
Mostly about metrics and dealing with imbalanced datasets.
No questions because the interviewer ghosted.
What is the difference between R^2 adjusted and not adjusted?
How do you train large scale data?
Did you have any experience with deployment or operationalization of models? What are the things you look into before deploying the model?
Case Study for multi label classification problem
What's the difference between MLE and MAP inference?
Design a system to predict how many days it will take before a hotel is fully booked for the users selected date range.
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