CE 475 Fall 2018 Project Data
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The data workbook contains 100 datapoints for variables X1 through X5, and their label Y.
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Your mission is to predicts the Y values for new data points 101 through 120 as best as you can.
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Please also provide a report of your approach, what type of models you attempted, and analyze their accuracy.
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Project reports will be due December 3, and may be presented in class or labs, time permitting.
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Your project deliverables are:
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a) the project report document;
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b) programming artifacts;
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c) a spreadsheet listing your best predictions for the unlabeled sample data points.
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CE 475 Term Paper Outline:
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· Identification and Significance of problem: Explain what the problem you are trying to solve, and why it is worth solving.
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· Methodology: Describe what approaches you have attempted, why you picked those approaches, their pros and cons, what aspects worked/did not work
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· Implementation: Describe your implementation strategy, coding environment, libraries used etc.
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· Results: Report your implementation results, and provide an analysis of those results.
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· Conclusion: Provide a discussion of your work, what lessons you have learned.
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Please make sure your reports are well written, free of spelling or grammar errors, with clear concise English.
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Please send an email to cg2269@nyu.edu with subject: “CE 475 term report for <your student id> <your full name>” with links to each project artifact.
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