Foundations of Data Science Important Questions III BSc(MPCS/MSCS): 10 Marks and 4Marks || Rayalaseema University (UG) || VI Semester ||

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10 Marks Important Questions

Unit-1

Explain about roles and stages in data science project. ( 10 M or 4 M)

Explain about exploring and managing data. (10 M)

Explain about the different sampling modeling techniques. (10 M)

Explain about Data Cleaning and Sampling. (10 M or 4 M)

Unit-2

Explain about Mapping problems to machine Learning.(10 M or 4 M)

Write in detail about Linear and Logistic regression. (10 M or 4 M)

Explain about Data K-Means Algorithm with example.(10 M)

Explain about Cluster Analysis.(10 M)

Unit-3

Explain about matrices in R. (10 M)

Explain about ordered and unordered factors in R. (10 M or 4 M)

Explain the different concepts of arrays in R Language. (10 M)

Explain about reading data from files.(10 M)

Unit-4

Explain in detail Poisson distribution.(10 M)

Write about R-Binomial distribution.(10 M or 4 M)

Explain about Poisson and normal distribution. (10 M or 4 M)

Explain about manipulating objects and data distribution.(10 M or 4M)

Unit-5

Explain about different graphical parameters in R. (10 M) IMP

What are the various types of graphs drawn using R.(10 M)

Explain about graphical analysis.(10 M)

Explain about multiple plots and matrix plots in one window.(10 M or 4M)

4 Marks Important Questions

What is Data Science process? Explain.

What is NoSQL? Explain.

Explain about data frames in R Language.

Explain about lists?

What are matrix plots? Explain.

What is Data cleaning?

What is clustering?

What are relational databases?

Explain plot () function.

Explain about reading data from files.