There were questions on resume project, ML algorithm accuracy and precision related, on rule based algorithms etc- mostly based on my past projects and tools used
Data Scientist Trainee Interview Questions
40,359 data scientist trainee interview questions shared by candidates
- Describe Gradient Boosting algorithm - Collaborative and content-based recommendations - Coding problem about scalar product of sparse vector
Tell me about yourself
1. What are your strongest traits?
Describe how random forest works
Why you didn't say data was wrong?
Statistics • AB testing • Hypothesis Testing • Linear Regression • p-value Machine Learning • Algorithms • Class Representation • Imbalance Class Problem • Linear Regression Data Science • Data Manipulation • Feature Engineering • Missing Value Treatment • PCA Product Analytics • A/B testing How to Do A/B Testing: 15 Steps for the Perfect Split Test • Product Testing Python • Missing data • Pandas A Quick Introduction to the “Pandas” Python Library
Difference between random forest and boosted trees? What is boosting? Which will have greater depth if you perform hyperparameter tuning.
What is your technical background?
how to find max return given a sequence stock price
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