Login
Congrats in choosing to up-skill for your bright career! Please share correct details.
Home / Blog / Interview Questions on Data Science
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 7549
Logistic regression method is only for binary classification output
by Mr. Bharani Kumar 13631
Text Mining is performed on which kind of data Unsaturated data
by Mr. Bharani Kumar 6570
What are the properties of Decision trees Low Bias and high variance
by Mr. Bharani Kumar 34749
In ridge regression, as the regularisation parameter increases, do the regression coefficients decrease.
by Mr. Bharani Kumar 16953
Judgemental forecast technique, personalized inputs obtained from many sources are analyzed
by Mr. Bharani Kumar 11067
In Multiple Linear Regression, if there are three variable the shape is hyperplane
by Mr. Bharani Kumar 8270
Group of alike data points is known as clusters and Checkout Hierarchical Interview Questions
by Mr. Bharani Kumar 8725
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 8407
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 5184
The Project Charter is a formal document that serves as an official authorization to start a project or a phase.
by Mr. Bharani Kumar 3578
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 12682
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 7820
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 4735
Nominal data has to be converted into a dummy variable encoding format for ML algorithms to understand the same.
Category
Recent Posts
You may also like...
Over the past several years, the automobile sector has undergone a significant transformation that has disrupted the traditional ecosystem of automotive firms.
Rarely is a digital arena devoid of user comments, whether you consider Twitter or IMDB evaluations. Organisations must tap into these perspectives in the modern world to get insight on their goods and services.
For readers to comprehend the possibilities of data science and machine learning utilised in the oil and gas business, this article provides an introduction to oil and gas analytics.
Didn’t receive OTP? Resend
Let's Connect! Please share your details here
