How to calculate the most frequently occurring entry on huge data over different severs?
Data Science Interview Questions
10,879 data science interview questions shared by candidates
What one thing that brings u to jmpc>
How do you remove all duplicates in an array?
Asked about resume projects and challenges faced during them.
Explain what is overfitting, and how can you prevent it.?
Describe the random forest algorithm What is supervised learning? Algorithm question leetcode easy
Three focused behavior rounds and three focused tech rounds, which consist of a stats/ml session, a DS case study, and an software design round.
1. Online Round: This part was divided into two parts. a) Quant: Had aptitude questions with some good mathematical puzzles. b) Programming: Had two questions for which candidates were required to write the code. One of these was on "String Processing" and other was on "Dynamic Programming". 2. Tech-Interview I Basic questions ranging from Probability to the Statistics and slightly touching the fundamentals of Machine Learning. 3. Tech-Interview II Questions were mainly mathematical puzzles. Some questions were asked to look into my Data understanding skills.
How have you applied materials engineering concepts in a hands-on role?
asked some machine learning and statistics questions. Like what is GBM? How does it work. Provide detail of the algorithm and how you assess it accuracy. The also asked on describing steps to building a model. Like what is your dependent variable, what is the definition, why you pick this definition.
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