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Data Scientists Interview Questions
54,389 data scientists 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
Conflict questions
How do you feel your skills will help us to improve the quality of products under our review?
1. What are your strongest traits?
Several of the questions were about why I was interested in the position.
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
Purely from my technical subjects
Difference between random forest and boosted trees? What is boosting? Which will have greater depth if you perform hyperparameter tuning.
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