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1.
In Data Science, which of these is a type of Machine Learning algorithm that is used to draw inferences from datasets that consist of input data without labeled responses?
2.
In Data Science, which of the following is a statistical technique where elements are selected from an ordered sampling frame and the list is then progressed in a circular manner?
3.
In Data Science, which of the following types of Machine Learning maps situations to actions such that the end result is the maximum of the numerical reward signal?
4.
2. Regression helps to quantify and investigate the variations that are unexplained or unrelated to the predictor.
In data analytics, which of the following statements about the linear regression is correct:
1. Regression helps to find a simple, interpretable, and meaningful model to predict the data.2. Regression helps to quantify and investigate the variations that are unexplained or unrelated to the predictor.
5.
In data analytics, which of the following correlation measures is non-linear?
6.
In data analytics, which of the following statements about Regression is not correct?
7.
In data analytics, which of the following statements about Correlation is correct?
8.
In data analytics, which of the following is a type of probabilistic classifier?
9.
In data analytics, which of the following is not a feature of Poisson distribution?
10.
In data science, which of the following types of clustering is an example of the centroid model?