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What do you understand by linear regression and logistic regression?
Explain the difference between Supervised and Unsupervised Learning through examples.
Which is the best suitable language among python and r for text analytics?
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?
What do you understand by statistical power of sensitivity and how do you calculate it?
Please explain gradient descent?
What is the difference between supervised learning an unsupervised learning?
Explain the difference between data science, machine learning and artificial intelligence?
What is the law of large numbers?
If you had to choose between the programming languages r and python, which one would you use for text analytics?
What do you understand by clustering?
Can you cite some examples where a false negative important than a false positive?
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