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5604. Predictive Modeling
3.00 credits
Prerequisites:
Grading Basis: Graded
Introduces the techniques of predictive modeling in a data-rich business environment. Covers the process of formulating business objectives, data selection, preparation, and partition to successfully design, build, evaluate and implement predictive models for a variety of practical business applications. Predictive models such as neural networks, decision trees, Bayesian classification, and others will be studied. The course emphasizes the relationship of each step to a company's specific business needs, goals and objectives. The focus on the business goal highlights how the process is both powerful and practical.
Last Refreshed: 02-JAN-25 05.20.24.288918 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1248 1074 1 714 | 714 | 1074 | Eigo, Jennifer | 43/50 | Reg | Online Asynchronous |