How much data is enough to build a machine learning model? What actions can be taken using the machine learning model you created?
Principal Data Scientist Interview Questions
156 principal data scientist interview questions shared by candidates
Describe how do you use CNN as your project? How difficult it is to explain the feature importance in deep neural networks.
"How would you address imbalanced data?"
"How can you ensure that a model does not have multi-collinearity?"
"What criteria would you use to determine how reliable the control and test group are?" (follow-up to question #5)
"You are using a performance matrix to see how well a model performs. Describe the matrix."
"How would you identify outliers?"
Your data science experience and previous projects
Experience related questions and salary expectation
Explain some of your previous machine learning experieces Do you have experiences in dealing with credits data
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