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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- How does SMOTE work, and what are its limitations?
SMOTE creates synthetic minority samples by picking a minority point, choosing one of its nearest minority neighbours, and placing a new point at a random spot on the line between them. It reduces duplication but can create noisy points near class borders.
IntermediateQuick answer1 min read