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 Intern Interview Questions
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SQL and data science questions
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
Tell me about how you implemented the LSTM model for time series data
* Tell me about yourself. * Explain one of your projects. * What are joins in SQL? * What are your strengths and weaknesses? * Why do you want to join Infosys?
Comment juger vous vos connaissances en Python sur une échelle de 1 à 10 ?
Tools used for Data Visualization
Why are you interested in Data Science and how do you plan to grow in this field?
Previous Experience Dealing with huge data More technical nitty-gritty into the projects explained
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