Answer / Trapti Kansal

Supervised learning is a type of machine learning where an algorithm learns to predict outcomes by being trained on labeled data. The algorithm learns the mapping function from input features to output labels and makes predictions based on new, unseen data.

What is cross-validation?

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How can you assess a good logistic model?

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You are about to get on a plane to Seattle, you want to know whether you have to bring an umbrella or not. You call three of your random friends and as each one of them if it's raining. The probability that your friend is telling the truth is 2/3 and the probability that they are playing a prank on you by lying is 1/3. If all 3 of them tell that it is raining, then what is the probability that it is actually raining in Seattle.

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what is json and what is xml?

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Explain the two main components of the hadoop framework?

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How is a normal distribution different from chi square distribution?

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What do you mean by cluster sampling and systematic sampling?

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Can you use machine learning for time series analysis?

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How do you treat multicollinearity and heteroscedasticity in regression?

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What is the difference between select and update query?

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What is the goal of the clustering?

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Why we need ggplot?

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