Interview Questions on Data Science
Logistic regression method is only for binary classification output
Text Mining is performed on which kind of data Unsaturated data
What are the properties of Decision trees Low Bias and high variance
In ridge regression, as the regularisation parameter increases, do the regression coefficients decrease.
Judgemental forecast technique, personalized inputs obtained from many sources are analyzed
In Multiple Linear Regression, if there are three variable the shape is hyperplane
Group of alike data points is known as clusters and Checkout Hierarchical Interview Questions
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:
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.
The Project Charter is a formal document that serves as an official authorization to start a project or a phase.
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.
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).
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.
You may also like...
In the ever-evolving landscape of data management and retrieval, Weaviate Vector Database has emerged as a game-changer, offering a novel approach to organizing and querying vast amounts of information.
Are you ready to unlock the hidden language of vectors? To waltz with data in its most elegant form? If so, step into the Chroma verse, where the Chroma Database holds the key to a new reality of information retrieval.
Today, Data Science is an innovative discipline that uses ground-breaking technologies to manipulate and interpret the enormous volumes of data producing more informed decisions across all sectors.