Some basic question based on CV and job description.
Data Scientist Senior Interview Questions
3,397 data scientist senior interview questions shared by candidates
1. What is the difference between docker image and docker container? 2. Question on a self join SQL query
Most of the technical interview was about the test assignment, there were also some general machine learning questions and a couple of things about testing your models and code
Let's say you have worked on binary classifier random forest model, and both the classes recieved equal number of votes. How will you proceed further, what is your logic behind it?
Given a fair die, you lose if you roll 1 and you win if the sum of all rolls reaches 100, Which outcome is likelier? What to change for the odds to be equal?
they asking about your backgrounds and questions from the most common problems on leetcode I have canceled the process at the end due to some responsibilities but it was a nice short journey
Product: Imagine there’s an e-commerce website like Amazon that was launched two years ago, and they have been selling products meanwhile collecting reviews from those who have purchased the products in terms of the 1-5 stars and the text reviews. They have decided after two years to put the reviews that we have been collecting on the website and evaluate if they will improve the sales. They designed an A/B testing in which there are 50% control group and 50% treatment group. After they ran the test, they realized that the sales had dropped. What do you think caused the sales drop even though the reviews have been provided to the treatment group? Notes: • There is no novelty effect. • Both groups are completely randomized. • User experience has been the same meaning, there is no extra effort to place an order. • Those in the treatment group who have purchased products are more statistically satisfied than those in the control group. • Users have sorting and filtering options over the reviews.
DS & ML fundamentals
What is xgboost? what are hyperparameters that we use in xgboost.
Questions that would suit a Business Analyst role, not at all about Data Science.
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