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Manchester University · 3.0 credits · GRAD

Introduction to predictive modeling techniques such as logistic regression, decision trees, nearest neighbors, and clustering analysis. Applications in areas such as health care, consumer preference and fraud detection. Includes overview of model-building methodology and ethical considerations in applying predictive analytics models.
Fall 2026 · 1 section
Oct 19 – Dec 11
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| AClass #32297 | Time not published | North Manchester Campus | Kang, S |
| A notes: Instructional method: Online Asynchronous | |||