Online Access Free E20-007 Practice Test

Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model :
Y = b0 + b1x1+b2x2+....+bnxn

• A.Ordinary Least squares
• B.Integer programming
• C.Apriori Algorithm
• D.Ridge and Lasso

What describes a true limitation of Logistic Regression method?

• A.It does not handle correlated variables well.
• B.It does not have explanatory values.
• C.It does not handle missing values well.
• D.It does not handle redundant variables well.

You are provided four different datasets. Initial analysis on these datasets show that they have identical mean, variance and correlation values. What should your next step in the analysis be?

• A.Select one of the four datasets and begin planning and building a model
• B.Visualize the data to further explore the characteristics of each data set
• C.Combine the data from all four of the datasets and begin planning and bulding a model
• D.Recalculate the descriptive statistics since they are unlikely to be identical for each dataset

The Marketing department of your company wishes to track opinion on a new product that was recently introduced. Marketing would like to know how many positive and negative reviews are appearing over a given period and potentially retrieve each review for more in-depth insight.
They have identified several popular product review blogs that historically have published thousands of user reviews of your company's products.
You have been asked to provide the desired analysis. You examine the RSS feeds for each blog and determine which fields are relevant. You then craft a regular expression to match your new product's name and extract the relevant text from each matching review.
What is the next step you should take?

• A.Group the reviews using Na?ve Bayesian classification
• B.Use the extracted text and your regular expression to perform a sentiment analysis based on mentions of the new product
• C.Read the extracted text for each review and manually tabulate the results
• D.Convert the extracted text into a suitable document representation and index into a review corpus

Refer to the Exhibit.

In the Exhibit, the table shows the values for the input Boolean attributes "A", "B", and "C". It also shows the values for the output attribute "class". Which decision tree is valid for the data?

• A.Tree C
• B.Tree B
• C.Tree D
• D.Tree A