They asked how I would handle a highly imbalanced dataset for a classification problem, specifically asking which evaluation metrics I would prioritize over accuracy to ensure the model effectively detects the minority class.
Data Science Summer Intern Interview Questions
3,788 data science summer intern interview questions shared by candidates
behavior assessment and case study
Why are microchip transistors shaped like triangle?
1. Explain your projects in detail 2. Explain the evaluation metrics 3. Tell me about ResNets that you used
Explain different regression methods, explain gini coefficient, explain different loss functions and compare them etc
How did you learn a new concept
1. Predictive maintenance case - if you have more time how will you explain to a client how you'll improve a model 2. Random forest - if you have a noisy dataset (lots of features that don't matter) whats the probability of the 2 features of interest being present in any single tree that randomly selects 50 features out of 100
why do we need multilevel caching and my project related questions
Need basic python and sql experience. Had multiple choice questions on basic statistical inference
Dsa ML Python project stats linear algebra
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