Hai sviluppato progetti di machine learning?
Sr Data Scientist Interview Questions
3,395 sr data scientist interview questions shared by candidates
About previous projects.
Are you willing to go into pure consulting.
The case study was extensive, incorporating elements of visualization and forecasting. Its ambiguous nature, lacking clear questions, resulted in a time-consuming process. Ultimately, I received no feedback, which I consider unfair. Investing significant time and effort without receiving any response or evaluation from the other party seems unjust.
explain past projects
Les projets sur lesquels vous avez travaillé + Détail sur le travail pour un client.
Explain what the below pseudo-code is trying to do. array[N] # array of N integers, indexed 0 to N-1; # assume it’s populated with [1,4,2,-2,-9,10,2,12,2,-4,-4,-4,-4,2,6,7] peak = array[0] index = 0 output = [] # array of tuples For x in 1..N-1 if (array[x]*array[x-1] > 0) if peak < 0 and array[x] < peak peak = array[x] index = x if peak >= 0 and array[x] > peak peak = array[x] index = x else output.insert( (index, peak) ) peak = array[x] index = x end if end for return output
Explain one of your favorite Data Science projects.
Given a pandas data-frame "df" with five float columns the matplotlib command pyplot.plot(df) will...
They asked what packages I've used, such as Pandas, and how I've used them. They also asked about my project experience. The last question I could not answer at all - it was about how I would approach a problem for which analytics were not yet developed, and how I would know to be satisfied with the result for the client.
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