Foundational Data Science: Interview Questions

Q#108: Removing a trend from time series data

Note: I believe it should be free and readily available for everyone to gain…

Q #107: Precision, recall, and F-1 scores

What are precision, recall, and F-1 scores in the context of classification data…

Q# 106: Sample size estimation for smart watch users

Q#105: Foggiest months

Understanding weather patterns is crucial for a variety of applications, from agriculture to event planning. In this…

Q#104: Percent of months logged in

Question Curteousy of InterviewQs

Q#103: Efficacy of a classifier

Note: I believe it should be free and readily available for everyone to gain value from data, hence I…

Q#102: Logic behind the stationary distribution

Q#101: Writing a simple linear regression function

Q#100: Allocating votes from pooled elections

Note: I believe it should be free and readily available for everyone to gain…