Decision tree analysis | Computer Science homework help

Please see Scoring Guide Attachment and example data sets are linked below!

Competency

Explain the use of classification analysis in data science.

Scenario

Sprockets Corporation designs high-end, specialty machine parts for a variety of industries. You have been hired by Sprockets to assist them with their data analysis needs. Sprockets Corporation management would like more insight to their sales data. You have been directed to perform a decision tree analysis between the sale price and the related product features to provide a different insight into the predictive power of these variables. Use two separate packages for your analysis: the Python programming language and Python module: docclass.py from “programming collective intelligence” and the R Programming language and the rpart function.

Instructions

John Sprocket, CEO has asked you to prepare a presentation for the leadership team showcasing your decision tree models using R programming language and rpart function, and Python programming language and Python based module. You will also include an executive summary including all source code, results and supplemental information necessary for the leadership team.

With the R programming rpart function, generate a decision tree model using the sales price PRICEEACH as your dependent variable and consider the SALES, QUANTITYORDERED and PRICEEACH as features.
With the docclass.py Python based module and the Python language, generate a decision tree using PRICEEACH as your dependent variable and also include CITY, COUNTRY, DEALSIZE and CUSTOMER added to your existing features of SALES, QUANTITYORDERED AND PRICEEACH. Note that the docclass.py module will accept string values as input for the decision tree.
In both libraries, prune the tree appropriately in order to support a concise description that can lead to actionable results.

Please see Scoring Guide Attachment and example data sets are linked below!

https://learning.rasmussen.edu/bbcswebdav/pid-5855338-dt-content-rid-151629591_1/xid-151629591_1

Continue to order Manage Existing Orders

Place your order

Type of paper

Academic level

Deadline

Pages (550 words)

Approximate price: $22

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.