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Interview Questions on Data Science

Data Science Interview Questions: Essential Articles for Candidates

Prepare for your upcoming interviews with our comprehensive articles on Data Science interview questions. At 360DigiTMG, we provide valuable insights and strategies to help candidates excel in their interviews and advance their careers in data science.

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by Mr. Bharani Kumar 7504

September 06, 2022

Logistic regression method is only for binary classification output

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by Mr. Bharani Kumar 13585

September 04, 2022

Text Mining is performed on which kind of data Unsaturated data

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by Mr. Bharani Kumar 6525

September 03, 2022

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

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by Mr. Bharani Kumar 34683

February 03, 2023

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

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by Mr. Bharani Kumar 16917

September 07, 2022

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

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by Mr. Bharani Kumar 11008

September 07, 2022

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

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by Mr. Bharani Kumar 8231

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 8665

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 8361

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 5135

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 3535

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 12630

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 7748

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 4695

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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