If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?
170You are given a data set. The data set has missing values which spread along 1 standard deviation from the median. What percentage of data would remain unaffected? Why ?
532Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?
173Post New AI Machine Learning Questions
What are the two paradigms of ensemble methods?
Which is better for image classification? Supervised or unsupervised classification? Justify.
What do you understand by selection bias?
List out some important methods of reducing dimensionality.
What is Genetic Programming?
What is a class in machine learning?
Can you explain what is the difference between inductive machine learning and deductive machine learning?
Is machine learning hard?
Explain the Algorithm of Support vector machines in Machine Learning?
Why do ensembles typically have higher scores than individual models?
How would you use f1 score?
What is accuracy machine learning?
Is machine learning artificial intelligence?
What are the most common types of machine learning task?
Is it better to learn python or r?