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Interview Questions on Data Science

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by Mr. Bharani Kumar 7238

September 06, 2022

Logistic regression method is only for binary classification output

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by Mr. Bharani Kumar 12945

September 04, 2022

Text Mining is performed on which kind of data Unsaturated data

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by Mr. Bharani Kumar 6271

September 03, 2022

What are the properties of Decision trees Low Bias and high variance

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by Mr. Bharani Kumar 33602

February 03, 2023

In ridge regression, as the regularisation parameter increases, do the regression coefficients decrease.

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by Mr. Bharani Kumar 16435

September 07, 2022

Judgemental forecast technique, personalized inputs obtained from many sources are analyzed

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by Mr. Bharani Kumar 10502

September 07, 2022

In Multiple Linear Regression, if there are three variable the shape is hyperplane

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by Mr. Bharani Kumar 7903

September 07, 2022

Group of alike data points is known as clusters and Checkout Hierarchical Interview Questions

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by Mr. Bharani Kumar 8352

September 13, 2022

Data Mining, which is part of data science, which in turn is used to build AI applications have projects and these are handled commonly using the following methodologies:

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by Mr. Bharani Kumar 7999

September 30, 2020

The Mass/Concentration of the data is termed as the Central Tendency. It is a statistical measure that represents a value for the entire data.

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by Mr. Bharani Kumar 4937

September 30, 2020

The Project Charter is a formal document that serves as an official authorization to start a project or a phase.

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by Mr. Bharani Kumar 3395

September 29, 2020

The second step of CRISP-DM methodology is to collect the data for processing a solution for the business problem that is defined in the 1st stage.

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by Mr. Bharani Kumar 12203

September 29, 2020

Making statements or concluding/generalizing an entire population would not be possible, as we will not get the complete data. (Example: who will win the elections).

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by Mr. Bharani Kumar 7464

September 30, 2020

Probability can be explained as the chance that an outcome has from a set of possible outcomes of an experiment. It is measured as = No. of interested events/Total no. of events.

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by Mr. Bharani Kumar 4534

September 29, 2020

Nominal data has to be converted into a dummy variable encoding format for ML algorithms to understand the same.

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