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OMS ISYE 6501 Course Project Guide – Summer (Analytics Modeling Project Support & Structure Guide)

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Support your success in the OMS ISYE 6501 Summer Course Project with this structured project guide and methodology resource. This material helps students understand how to approach the project, organize analysis, and apply key analytics modeling concepts effectively. Covers essential guidance on data analysis workflow, problem formulation, predictive modeling approaches, feature selection, evaluation methods, and result interpretation. Ideal for improving understanding of how to structure and complete an analytics project step-by-step.

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ISyE 6501
Introduction to Analytics
Modeling
Course Project




(1) Browse the short overviews of the projects. Read a bunch of them – they’re
really
interesting. But don’t try to read them all unless you have a lot of spare time;
there
are lots!
(2) Pick a project for which you think at least three different Analytics models
might
have been combined to create the solution.

(3) Think carefully and critically about what models might be used to create the
solution, how they would be combined, what specific data might be needed to
use
the models, how it might be collected, and how often it might need to be
refreshed
and the models re-run. DO NOT find a description online (or elsewhere) of
what
the company or organization actually did. I want this project to be about your
ideas, not about reading what someone else did.
(4) Write a short report describing your answers to
(3).
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Uploaded on
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