Interview Questions on Data Science
by Mr. Bharani Kumar 7487
Logistic regression method is only for binary classification output
by Mr. Bharani Kumar 13578
Text Mining is performed on which kind of data Unsaturated data
by Mr. Bharani Kumar 6519
What are the properties of Decision trees Low Bias and high variance
by Mr. Bharani Kumar 34649
In ridge regression, as the regularisation parameter increases, do the regression coefficients decrease.
by Mr. Bharani Kumar 16910
Judgemental forecast technique, personalized inputs obtained from many sources are analyzed
by Mr. Bharani Kumar 10980
In Multiple Linear Regression, if there are three variable the shape is hyperplane
by Mr. Bharani Kumar 8226
Group of alike data points is known as clusters and Checkout Hierarchical Interview Questions
by Mr. Bharani Kumar 8620
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 8356
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 5130
The Project Charter is a formal document that serves as an official authorization to start a project or a phase.
by Mr. Bharani Kumar 3524
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 12627
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).
by Mr. Bharani Kumar 7738
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 4680
Nominal data has to be converted into a dummy variable encoding format for ML algorithms to understand the same.
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