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If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?
168You 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 ?
507Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?
167Post New AI Machine Learning Questions
Explain the Algorithm of Support vector machines in Machine Learning?
Tell us how do you handle missing or corrupted data in a dataset?
What are the basic requirements for machine learning?
What is naive bayes used for?
What are the two methods used for the calibration in Supervised Learning?
Which os is best for machine learning?
Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?
What is motor sequence learning?
Can you explain what is the difference between inductive machine learning and deductive machine learning?
What is symbolic reasoning?
What is false positive and false negative in terms of machine learning?
Where do we use encoder and decoder?
What is a fourier transform?
What are your favorite use cases of machine learning models?
What is symbolic machine learning?
