Explore topic-wise InterviewSolutions in .

This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.

1.

What is semi supervised learning?

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2.

What machine learning techniques you know?

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3.

If we are given ages and height of 100 person and for 101st person we do not know the age. Also, we do not have any linear relationship between the two, how we will identify then the age of 101st person?

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4.

What is overfitting and underfitting?

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5.

Do we need to test model's performance on test data if it performs poorly on train data, even if we tune hyperparameters but still?

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6.

What are the ways to avoid underfitting?

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