Requirement: Four Data Analysis methods:
Provide detailed overview of Purpose, Strength, Weakness of each method
Identify at least 3 scenarios cases for each element from research papers.
How each element can be improved?
Analysis on sample data for 2 methods.
(8-10 pages for 1,2,3 & 3-4 pages for 4)
8 -10 pages at a minimum
Your paper should be in 12 point Times New Roman Font, 1.5 space
Include at least 10 scholarly references (not websites, blogs, etc)
You will be graded on correct grammatical syntax and clarity!
Please cite your references in APA format. For each reference that you use please include an in-text citation. Your reference page does not count toward your paper requirement. DO NOT PROVIDE DIRECT QUOTES! You must summarize and synthesize in your own words.
Our suggestion
Data Analysis Methods:
Decision Tree Algorithm
Clustering : K-means
Linear Regression
Logistic Regression
Detailed Analysis:
Linear Regression
Decision Tree Algorithm
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