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Essay ISTE-600: Impactful Problem – Data Mining Approach – Project Proposal Assignment Help

Assignment Task:

The purpose of this project is to follow the process of going from data to knowledge using a data set that applies to a real-world problem. For this project, you will form teams of 4 to 5 students. Your team’s objective is to locate a data set in order to help solve a specific problem. This means that when locating a data set, you should be thinking about an impactful problem that working with this data set would solve and how this data set will allow you to work towards solving the problem. You may use any data mining software packages or libraries you wish for performing data mining tasks and any programming language for cleaning and pre-processing the data.

Project Proposal
By this deliverable, you will have established the data set you would like to use and the problem that the data set will help solve.
The proposal should be on the order of 2 pages, where a page is defined as 12-point Times New Roman font with 1” margins and 1.5 spacing. Excluding any figures, your document should be about 600-650 words long. Include the following sections.
• Problem Addressed – give a 2-3 sentence description of the problem your team is working to solve. Be as specific as possible.
• Data Set – provide a description of the data set and your reasoning for how this data set applies to the problem. Keep in mind that you could source multiple data sets. Make sure that you provide a link to any data set you plan to use!
• Pre-processing Steps – describe what data pre-processing steps you think might be required. Is there something mentioned in the description of the data set or something you noticed when initially looking at the data that lead you to these steps?
Data Mining Approach – is it a supervised or unsupervised approach that you’ll be taking? Give an explanation is to why you believe it would be supervised or unsupervised. You may find that you need a mix of both approaches. Perhaps you need to cluster the data first to determine classes and then perform classification, for example.

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