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Develop a Systems Analysis and Design Portfolio (report) that applies the Systems Development Life Cycle (SDLC) to the integration of a machine learning analytic solution into a software technology used by an enterprise, marrying information systems and business analytics. Machine learning solutions are programming logic and statistical models that are deployed as software to solve a business problem or derive business insights. This exercise simulates the experience of a professional IT Systems Analyst or Systems Architect, or similar role within an IT organization.
Project Content and Structure.
Use Case
You work in the insurance industry. The Insurance Agency that you work for has a software that generates a quote for an insurance policy upon a customer request. The Insurance Agencies' executives want the machine learning team to develop a model that predicts the likelihood that the customer will accept the insurance policy that is quoted. The results will be viewable by the Insurance Agents who develop the quote, but not viewable by the customer who is requesting the quote. This product will help Insurance Agents in an operational way, as Agents will follow up quicker and more frequently with customers whose business they might lose, and might not follow up at all with customers whose business they are highly likely to win.
Draw from your readings on machine learning throughout this course to develop your understanding of the machine learning use case.
Project Outline
Unit 1
Planning and Initial Components
Start Assignment
Directions
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