Category: Introduction to Machine Learning

Introduction to Machine Learning

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

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

If you can, answer the question below: Write your answer in the comment box. Bias and Variance in the prediction and corresponding effect. Can you explain that?

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.

Sep 20

What are some core and/or popular Machine Learning Algorithms.

If you can, answer the question below: Write your answer in the comment box. What are some core and/or popular Machine Learning Algorithms.

Sep 20

What is boosting?

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