Discuss the function supported in R language to differentiate between linear regression and multiple regression. Write programs using R programming language to support your answer with any sample data.

Create a sample data of the marks of 20 students in five different subjects using MS Excel. Discuss the different chart and graphing library packages supported by R programming language. Write programs using R programming language to create four different plots using this data.

Discuss different data structures in R. Write program using R for the following tasks:

(i) Computation of income tax of a vector of size 10, consisting of the total annual income of 10 differentpersons. The tax computation should be 10%, if annual income is below 5 lakhs and 20% if it is above 5 lakhs.

(ii) Matrix addition, subtraction and multiplication

(iii) Finding inverse of a matrix

Explain the process and issues of the following: Advertising on web, Recommendation system, Mining of social networks.

What is PageRank? Discuss the basic principle of flow model in PageRank. Explain different mechanisms of finding pagerank?

Explain Data Stream Bloom filter with the help of an example. Why do we need for Bloom filter? Discuss the working of Bloom filter. Explain the Flajolet-Martin algorithm.

Explain the Jaccard similarity of sets with the help of an example. What are the ways of finding similarity between two documents? Also, define the term collaborative filtering.

What is NoSQL database? Discuss how does a Column Database and Document database Work? List and briefly discuss Graph database examples.

What is the purpose of using Apache SPARK, HIVE and HBASE, explain with supporting example.

Explain the concept of Map-Reduce with the help of an example.

What is the need for Big data? Explain 3 V’s. Discuss the master/slave Hadoop architecture with the help of an example.

A class has 25 students. Create a data set of marks of the students in Mathematics out of a maximum of 50 marks. Discuss and draw, which chart will be best for Visualization & Interpretation. Justify your reasons in support of your answer

Why do need Data Preprocessing? Explain different Quality Measures in Data Preprocessing. Discuss the different strategies for Data Handling.

Discuss the need for Statistical Hypothesis Testing with the help of an example. Explain types of Errors in Hypothesis Testing

Describe data science. What uses does it have? In the context of data analysis, define the terms descriptive, exploratory, and predictive.

Describe cross-site attacks with examples.

Write and explain in detail any five attacks on wi-fi networks scripting (XSS).

Write and explain in detail any five vulnerabilities in a website procedure to prevent.

What is social media analysis for information gathering? Explain it with an example.

Explain the use of Python for web scraping