Answer / Vivek Kishor

While Python is a popular choice for machine learning due to its simplicity, ease of use, and extensive libraries such as TensorFlow, Scikit-Learn, and Keras, it's not necessarily the best. The best language depends on personal preference, project requirements, and familiarity.

What is the calibration layer in machine learning?

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Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

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Why do we convert categorical variables into factor? Which function is used in r to perform the same?

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What are the best public data sets for machine learning?

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What’s the trade-off between bias and variance?

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Tell me how a roc curve works?

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What is logistic regression? State an example when you have used logistic regression recently.

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What language does google use for machine learning?

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How would you use f1 score?

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Is it better to have too many false positives or too many false negatives? Explain.

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Which is more important to you – model accuracy or model performance?

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What is an imbalanced dataset? Can you list some ways to deal with it?

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