Interview Q&A / Data Science
Data Science interview questions
Statistics, pandas, cleaning data and exploratory analysis for analyst and data science roles.
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- What is multicollinearity, and how do you detect it?
Multicollinearity is when predictors are strongly correlated with each other, which makes coefficient estimates unstable and hard to interpret. Detect it with a correlation matrix or variance inflation factor; VIF above about 5 to 10 is a warning.
IntermediateQuick answer1 min read