Explain types of clustering algorithm?
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During analysis, how do you treat missing values?
How is data modeling different from database design?
What is meant by linear regression?
What are independent graphics subsystems?
What is meant by lattice graphs?
Can you cite some examples where both false positive and false negatives are equally important?
What is overfitting?
How is true positive rate and recall related?
Is macbook good for data science?
How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.
Can you write the formula to calculate r-square?
What is meant by sampling? Explain some sampling methods that you know?