Interview For The Role Of Data Scientist At Nira Finance
I was asked to explain my project.
Have you not done any classification problem as your Resume only mentions regression tasks.
Explain the working of Gradient boosting.
Difference between boosting and bagging.
What would you do when output is imbalanced.
What is more preferred over sampling or under sampling.
In what case under sampling a non harmful approach.
How would you measure the performance of models built on imbalanced dataset.
What’s the meaning of precision and recall.
Tell me about a task you did and are very proud of.
Do you have any questions for me
Post interview I was given a ML assignment to solve and submit within next 2 weeks.
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