How does a Random Forest classifier work from a mathematical point of view?
Intern Data Scientist Interview Questions
3,778 intern data scientist interview questions shared by candidates
What is the difference between bagging and boosting?
simple one round interview. 1 is employee from the team, another is the HM. They Asked simple questions, mostly around my resume and non-technical questions. They care about behavior questions more it seems. Rejected after.
How to deal with missing data attributes in a dataset?
Algo+DSA questions in every round of onsite. ML and DS basic theory questions. How to calculate AUC from scratch?
I was asked to pick a topic of my choice in the field of ML, and was asked basic questions on that. E.g) Logistic regression loss function, draw ideal ROC curve. Then from resume project, he saw LSTM. So he asked me to code up the LSTM logic. I fumbled there so he gave me a leetcode medium problem - 3Sum. Did a brute force on that since i hadn't done DSA much. Overall bad experience, since I messed up big time. This was my first ever interview in life. Hope this helped.
Tell me about yourself and your background
They gave me a csv file and asked to perform various things using pandas, numpy
What is LoRA. What is RL, what kind of RL techniques do you know.
all based on my CV and follow-up questions.
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