If you can, answer the question below: Write your answer in the comment box. Are k-nearest neighbor and k-means clustering both supervised and/or unsupervised?
Category: Root
Sep 20
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?
Sep 20
If the Data Changes i.e. new data comes what happens to k-nearest neighbor and k-means clustering?
If you can, answer the question below: Write your answer in the comment box. If the Data Changes i.e. new data comes what happens to k-nearest neighbor and k-means clustering?
Sep 20
What is a decision tree?
If you can, answer the question below: Write your answer in the comment box. What is a decision tree?
Sep 20
What is entropy in decision tree?
If you can, answer the question below: Write your answer in the comment box. What is entropy in decision tree?
Sep 20
What is Bagging?
If you can, answer the question below: Write your answer in the comment box. What is Bagging?
Sep 20
What is Stacking?
If you can, answer the question below: Write your answer in the comment box. What is Stacking?
Sep 20
What is Naive Bayes? Why is it called Naive Bayes?
If you can, answer the question below: Write your answer in the comment box. What is Naive Bayes? Why is it called Naive Bayes?
Sep 20
Does Naive Bayes uses Conditional Probability? If so how and why?
If you can, answer the question below: Write your answer in the comment box. Does Naive Bayes uses Conditonal Probability? If so how and why?
Sep 20
What do desire in bias and variance in the prediction. Answer in terms of High and Low.
If you can, answer the question below: Write your answer in the comment box. What do desire in bias and variance in the prediction. Answer in terms of High and Low.
