three problem solving codes one structural query language database other additional machine learning multiple choices questions the interview was online 90-120 mins try to solve a lot of questions from lee code and hacker rank and other websites.
Data Science Summer Intern Interview Questions
3,790 data science summer intern interview questions shared by candidates
Deep Learning, Machine Learning, Auto Encoders
Explain Random Forests. How is node splitting condition decided for a Decision Tree. Explain different types of Boosting techniques and compare them.
What is RELU and why do we use it?
Two of them are about: What do you expect to take out of the summer internship? What language or framework have you recently taught yourself?
They started by asking me about regression and since my bachelors project was in fuzzy set theory, how fuzzy regression works
Q. What is the diffence between L1 and L2 norm? Q. Describe a data science pipeline? Q. How can we monitor a Machine Learning model?
- coding a T9 algorithm - choose the ML algorithm of your choice and explain it
Discuss experience w PyTorch, TensorFlow
1. Why BCG, describe BCG 2. Self-study experience and how 3. Project result/impact/enjoy part and least enjoy part 4. technical skill you are most comfortable 5. team work/ successful team you are in
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