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What is bayes' theorem? How is it useful in a machine learning context?
Explain the purpose of machine learning?
What do you understand by algorithm independent machine learning?
What is your favorite algorithm and also explain the algorithm in briefly in a minute?
How will you explain machine learning to a layperson?
Tell us how do you handle missing or corrupted data in a dataset?
Why do we convert categorical variables into factor?
What is pruning in decision trees and how is it done?
Tell me what are your favorite use cases of machine learning models?
You 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 ?
What is a fourier transform?
What do you mean by parametric models?
Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?
What is accuracy score in machine learning?
Explain the difference between bias and variance?
