Un-Answered Questions { AI 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?
How is machine learning (ml) different from artificial intelligence (ai)?
What is feature engineering?
Can you explain rescaling data technique in data pre-processing?
What is the difference between probability and likelihood?
What is pca in ml?
What are the important data pre-processing techniques in python machine learning?
