getting interviews but some are getting deep into modeling that i do not have experience in. how would i learn more about nuances in DS modeling and pivot from DA to DS? Thanks!
Give us an example question so we know where you are currently and what resources might be good.
My knowledge extent is implementing the algorithm but limited in feature engineering. Google interview asked what I would do with correlated variables in a regression and how would I know which one to remove which I couldn’t answer on the spot
Was it onsite or phone screen?
Read medium posts from users who failed the on sites
DS bootcamp is the fastest way. -- from a Stats PhD.
Taking some online courses and reading some books can also be helpful.