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 a decision tree work, and why does a random forest usually perform better?
A decision tree splits data with a series of yes/no questions, choosing each split to make the groups as pure as possible. A single deep tree overfits easily. A random forest trains many trees on random samples of rows and features and averages their votes, which reduces variance and usually improves accuracy.
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