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Un-Answered Questions { Artificial Intelligence }
Can you explain how do you handle missing or corrupted data in a dataset?
Why machine learning?
Why is naive bayes so naive?
What is roc?
What are the best python libraries used in machine learning?
What are the best public data sets for machine learning?
What is pruning in decision trees?
What is data pre-processing technique for machine learning?
What is data structure? And what are the different types of data structures supported in r programming?
What is data augmentation in ml?
What is feature scaling?
What is type I vs type ii error?
What sentiment analysis?
Can you explain bias-variance trade-off?
What is batch normalization?
