Explain the term "data warehouse".
What do you understand by ensemble learning?
What do you understand by confusion matrix?
What do you understand by the term data science?
What do you understand by normal distribution?
Do you prefer python or r for text analytics?
Why is resampling done?
What is overfitting?
Where to seek help in case of discrepancies in tableau?
What are the feature vectors?
What do you understand by the selection bias? What are its various types?
What is selection bias and why does it matter?
What are numpy, scipy, and spark essential datatypes?
why is data cleaning important for analysis?
Can you compare the validation set with the test set?