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create a linear model and check if the perm has linear relationship with the remaining three attributes.

Download data from OA 8.5, which was obtained from BP Research (image analysis by Ronit Katz, University of Oxford). This dataset contains measurements on 48 rock samples from a petroleum reservoir. Here 12 core samples from petroleum reservoirs were sampled in four cross-sections. Each core sample was measured for permeability, and each crosssection has total…
What can you tell us about the rating of a movie from its budget and aggregated number of followers in social media channels?

For this exercise, you are going to work again with a movie review dataset. In this dataset, conventional and social media movies, the ratings, budgets, and other information of popular movies released in 2014 and 2015 were collected from social media websites, such as YouTube, Twitter, and IMDB, etc.; the aggregated dataset can be downloaded…
Create a logistics regression model to predict the class label from the first eight attributes of the question set.

An automated answer-rating site marks each post in a community forum website as “good” or “bad” based on the quality of the post. The CSV file, which you can download from OA 9.14, contains the various types of quality as measured by the tool. Following are the type of qualities that the dataset contains: i.…
create a prediction model using softmax regression for the species of iris flower.

The Iris flower dataset or Fisher’s Iris dataset (built into R or downloadable from OA 9.16) is a multivariate dataset introduced by the British statistician and biologist Ronald Fisher in his 1936 paper.4 The use of multiple measurements in taxonomic problems is an example of linear discriminant analysis. The dataset consists of 50 samples from…
How does it affect the evaluation when you include the region while training the model?

In this exercise you will work with the Blues Guitarists Hand Posture and Thumbing Style by Region and Birth Period data, which you can download from OA 9.24. This dataset has 93 entries of various blues guitarists born between 1874 and 1940. Apart from the name of the guitarists, that dataset contains the following four…
Use the SVM to see if we can use Height, Weight, Age, and Sex (0 = male or 1 = female) to determine the Race (0 = white or 1 = other) of the child.

For this exercise, we have collected a sample of 198 cases from the NIST’s AnthroKids dataset that is available for download from OA 9.27. The dataset comes from a 1977 anthropometric study of body measurements for children: Foster, T. A., Voors, A. W., Webber, L. S., Frerichs, R. R., & Berenson, G. S. (1977). Anthropometric…
Create a report with the description of (1) your data collection method, (2) your data analysis method, and (3) your findings.

For this exercise, we will focus even more on the problem and less on the amount and nature of data. On top of that, we will do cross-data and cross-platform analysis. Imagine you are working as an aide or advisor for a candidate for an upcoming election. You are preparing the candidate for an open…
create visualizations with different perspectives of the data we covered in this chapter, using Yelp dataset of “business” and “users.” In other words, you are to try different variables for the visualization other than those used in the example.

Using R, create visualizations with different perspectives of the data we covered in this chapter, using Yelp dataset of “business” and “users.” In other words, you are to try different variables for the visualization other than those used in the example. Through this practice of data visualization with the Yelp dataset, did you find anything…
Prepare a differential analysis as of July 1 presenting the proposed operation of the warehouse for the 14 years (Alternative 1) as compared with investing in U.S. Treasury bonds (Alternative 2).

Differential Analysis Involving Opportunity Costs On July 1, Coastal Distribution Company is considering leasing a building and buying the necessary equipment to operate a public warehouse. Alternatively, the company could use the funds to invest in $740,000 of 5% U.S. Treasury bonds that mature in 14 years. The bonds could be purchased at face value.…
BACKGROUNDYou are a partner in the professional ethics division of your firm’s national office, responsiblefor investigating possible ethical violations by your firm’s personnel.

BACKGROUNDYou are a partner in the professional ethics division of your firm’s national office, responsiblefor investigating possible ethical violations by your firm’s personnel. You just finished readingnews reports that the PCAOB and SEC are investigating an alleged “audit failure” by your firmin its audit of Futuristic Technologies Incorporated (“FTI”) for the year ended December 31,2019.…

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create a linear model and check if the perm has linear relationship with the remaining three attributes.

What can you tell us about the rating of a movie from its budget and aggregated number of followers in social media channels?

Create a logistics regression model to predict the class label from the first eight attributes of the question set.

create a prediction model using softmax regression for the species of iris flower.

How does it affect the evaluation when you include the region while training the model?

Use the SVM to see if we can use Height, Weight, Age, and Sex (0 = male or 1 = female) to determine the Race (0 = white or 1 = other) of the child.

Create a report with the description of (1) your data collection method, (2) your data analysis method, and (3) your findings.

create visualizations with different perspectives of the data we covered in this chapter, using Yelp dataset of “business” and “users.” In other words, you are to try different variables for the visualization other than those used in the example.

Prepare a differential analysis as of July 1 presenting the proposed operation of the warehouse for the 14 years (Alternative 1) as compared with investing in U.S. Treasury bonds (Alternative 2).

BACKGROUNDYou are a partner in the professional ethics division of your firm’s national office, responsiblefor investigating possible ethical violations by your firm’s personnel.