Interview Questions on Data Science
by Mr. Bharani Kumar 7638
Logistic regression method is only for binary classification output
by Mr. Bharani Kumar 14168
Text Mining is performed on which kind of data Unsaturated data
by Mr. Bharani Kumar 6687
What are the properties of Decision trees Low Bias and high variance
by Mr. Bharani Kumar 35561
In ridge regression, as the regularisation parameter increases, do the regression coefficients decrease.
by Mr. Bharani Kumar 17195
Judgemental forecast technique, personalized inputs obtained from many sources are analyzed
by Mr. Bharani Kumar 11346
In Multiple Linear Regression, if there are three variable the shape is hyperplane
by Mr. Bharani Kumar 8502
Group of alike data points is known as clusters and Checkout Hierarchical Interview Questions
by Mr. Bharani Kumar 8887
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 8602
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 5239
The Project Charter is a formal document that serves as an official authorization to start a project or a phase.
by Mr. Bharani Kumar 3613
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 13006
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 7902
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 4774
Nominal data has to be converted into a dummy variable encoding format for ML algorithms to understand the same.
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