Answer / Sayema Arif

Regression in machine learning is a supervised learning technique used for predicting a continuous outcome variable (also known as the dependent variable) based on one or more predictor variables (independent variables).

What are the different Algorithm techniques in Machine Learning?

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How would you handle an imbalanced dataset?

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What is the batch in machine learning?

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What do you understand by underfitting?

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Why instance based learning algorithm sometimes referred as Lazy learning?

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Explain me what's the trade-off between bias and variance?

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Do you know what is kernel svm?

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What is inductive machine learning?

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Tell us which do you think is more important: model accuracy or model performance?

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What is Training set in machine learning?

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What do you understand by the f1 score?

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List out some important methods of reducing dimensionality.

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