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Computer Science homework help

Computer Science homework help. Required textbook to answer the below  questions
EMC Education Service (Eds). (2015) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data, Indianapolis, IN: John Wiley & Sons, Inc
1. 3 Characteristics of Big Data, and main considerations in processing Big Data
2. Explain the Differences b/w BI And Data Science
3. 4 classifications of Big data Structures
4. Describe each phase in Data Analytics LifeCycle
5.Which Phase would take more time and less time (in reference to question 4)
6.R command to create scatterplot for dataframe df, assuming values for x and y
7.what is rug plot
8. Type I and Type II error, why is other more serious than other
9. Why consider K-means clustering unsupervised
10. 4 steps in the K-means clustering Algorithm
11. 3 popular cases of the Rules mining algorithm
12 Define Support and Confidence
13. how do you “Hold-out” data set to evaluate the effectiveness of the rules generated
14.use cases of linear regression models
15. Compare and contrast linear and logistic regression methods.

Computer Science homework help


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