XGB and feature engineering for different real world needs
Sr Data Scientist Interview Questions
3,495 sr data scientist interview questions shared by candidates
How do you calculate linear regression (i.e., what function is optimized/minimized to create a linear regression model)?
Asked about the projects I have worked on along with the underlying concepts.
Technical depth in deep learning and machine learning. Thorough understanding of my relevant work experience in machine learning and data science.
Q. Change the sigmoid function so that it is more narrow?
Problem-solving. In-depth questions from previous projects and skill set. A strong grasp of fundamentals is necessary. Why you used certain techniques and algorithms over others?
They asked me to walk through one of my recent end-to-end data science projects and explain how I approached the problem, what techniques I used and the impact it created.
shell command two write ngram Python recursive function to convert JSON file into dict R function to find Peaks
Second round questions are: what according to you is data science? -- Answer will be always subjective, Can't we do non-linearity model using logistic regression? Even if you transform variable and use it in model -- statisticians refer the transformed variable as feature and logit is linear to feature.
Asked about background and asked to describe completed projects
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