Interview Q&A / Machine Learning
Machine Learning interview questions
Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.
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- What is multicollinearity, and how do you detect and fix it?
Multicollinearity means two or more features are strongly correlated, so a linear model cannot tell their effects apart and coefficients become unstable. Detect it with a correlation matrix or VIF above about 5-10. Fix it by dropping or combining features, PCA, or ridge regression.
IntermediateQuick answer1 min read