Describe the difference between various bagging and boosting methods in terms of bias and variance trade-off
Sr Data Scientist Interview Questions
3,495 sr data scientist interview questions shared by candidates
hashmap question, two sum variant, ML theory questions
My Experience level and what interested me about the Company
Usual behavioral questions. Do not overlook data science fundamentals like precision, recall, sensitivity, specificity, etc.
Most questions were related to machine learning models and algorithms. For example, Random forest, Xgb, difference between bagging and boosting, how different algorithms handle NA values etc.
It was related to ML, AI and solving business problem
case interview was kind of different
Asked me to do a presentation showing a project and my technical background
Questions from the projects mentioned in the resume
colloquio con case study in pieno stile Data Science, problema di classificazione con manipolazione dati, sviluppo su notebook, discussione in Inglese di approccio seguito e improvement points, con due interviewer
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