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.
by Mr. Bharani Kumar 7761
Logistic regression method is only for binary classification output
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Text Mining is performed on which kind of data Unsaturated data
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What are the properties of Decision trees Low Bias and high variance
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In ridge regression, as the regularisation parameter increases, do the regression coefficients decrease.
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Judgemental forecast technique, personalized inputs obtained from many sources are analyzed
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In Multiple Linear Regression, if there are three variable the shape is hyperplane
by Mr. Bharani Kumar 8667
Group of alike data points is known as clusters and Checkout Hierarchical Interview Questions
by Mr. Bharani Kumar 9049
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:
by Mr. Bharani Kumar 8742
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.
by Mr. Bharani Kumar 5336
The Project Charter is a formal document that serves as an official authorization to start a project or a phase.
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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.
by Mr. Bharani Kumar 13230
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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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.
by Mr. Bharani Kumar 4836
Nominal data has to be converted into a dummy variable encoding format for ML algorithms to understand the same.
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