Interview Duniya

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[Interview Duniya @interview_dunia]

Which word embedding allows custom training for a specific subject?

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[Interview Duniya @interview_dunia]

Which one is not a word embedding technique?

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[Interview Duniya @interview_dunia]

Which of the following are word embedding techniques?

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[Interview Duniya @interview_dunia]

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[Interview Duniya @interview_dunia]

Does Neural Word Embedding mean words represented as vectors?

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[Interview Duniya @interview_dunia]

In text-mining, which method is used to convert text into tokens and convert them into an integer or floating-point vectors?

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[Interview Duniya @interview_dunia]

Which one is not a pre-processing technique?

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[Interview Duniya @interview_dunia]

To identify people, organization, and location which method(s) do we use?

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[Interview Duniya @interview_dunia]

Stemming is a process to convert a sentence into tokens:

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[Interview Duniya @interview_dunia]

How to check the strength of linearity between two continuous variables??

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[Interview Duniya @interview_dunia]

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The technique which is used to remove the words like "and", "is", "are", "a", and "the" from a sentence is called?

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[Interview Duniya @interview_dunia]

What could be the possible features of text corpus?

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[Interview Duniya @interview_dunia]

What is the covariance coefficient? | Machine learning interview question

https://t.co/RNUK0feV2q

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[Interview Duniya @interview_dunia]

[Comment your answer below 👇]
Which of the following techniques can be used to convert a keyword into its base form?

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[Interview Duniya @interview_dunia]

If a distribution is abnormally tall and peaked, then it can be said that the distribution is:

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[Interview Duniya @interview_dunia]

The standard deviation can be negative. True or False?

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[Interview Duniya @interview_dunia]

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐑𝐎𝐂 𝐜𝐮𝐫𝐯𝐞 𝐚𝐧𝐝 𝐇𝐨𝐰 𝐭𝐨 𝐢𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐢𝐭?

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[Interview Duniya @interview_dunia]

[Comment your answer below👇]

If the variance of a dataset is correctly computed with the formula using (n – 1) in the denominator, which of the following option is true?

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[Interview Duniya @interview_dunia]

4) Then test on the testing set.

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[Interview Duniya @interview_dunia]

𝐖𝐡𝐞𝐧 𝐭𝐨 𝐝𝐨 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐚𝐟𝐭𝐞𝐫 𝐭𝐫𝐚𝐢𝐧 𝐭𝐞𝐬𝐭 𝐬𝐩𝐥𝐢𝐭 𝐨𝐫 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐡𝐞 𝐬𝐩𝐥𝐢𝐭?

𝐀𝐧𝐬𝐰𝐞𝐫: In general, feature scaling should be done after the split to avoid data leakage. [A THREAD>>>]

[Interview Duniya @interview_dunia]

Let's take the example of standardization where we use the standard deviation of training data to scale the features. So to scale test data use the same standard deviation and scale test data (then calculate the standard deviation for testing data and use it.)