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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 9381

September 06, 2024

Logistic regression method is only for binary classification output

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by Mr. Bharani Kumar 19400

September 04, 2024

Text Mining is performed on which kind of data Unsaturated data

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by Mr. Bharani Kumar 8543

September 03, 2024

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

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by Mr. Bharani Kumar 41265

February 03, 2024

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

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by Mr. Bharani Kumar 20118

September 07, 2024

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

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by Mr. Bharani Kumar 14675

September 07, 2024

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

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by Mr. Bharani Kumar 10997

September 07, 2024

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

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by Mr. Bharani Kumar 11161

September 13, 2024

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 10728

August 14, 2025

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 7069

August 08, 2025

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 4827

July 15, 2025

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 15454

September 29, 2024

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 9397

September 30, 2024

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 5929

July 14, 2025

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

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