Category: Quiz

How is the computational complexity of k-nearest neighbor and k-means clustering? Are they do once and use always solution?

If you can, answer the question below: Write your answer in the comment box. How is the computational complexity of k-nearest neighbor and k-means clustering? Are they do once and use always solution?

If the Data Changes i.e. new data comes what happens to k-nearest neighbor and k-means clustering?

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What is a decision tree?

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What is entropy in decision tree?

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Does Naive Bayes uses Conditional Probability? If so how and why?

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What is Bagging?

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What is Stacking?

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What is Naive Bayes? Why is it called Naive Bayes?

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Bias and Variance in the data and corresponding effect. Can you explain that?

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What is VC dimension?

If you can, answer the question below: Write your answer in the comment box. What is VC dimension?