DATX 5805 - Predictive Modeling Algorithms

Institution:

Youngstown State University

Subject:

Description:

5805. Predictive Modeling Algorithms. Predictive modeling (also referred to predictive analytics and machine learning) applies statistical techniques in analyzing data to predict outcomes. Through a hands-on approach, this course helps students develop basic skills in predictive analytics. Topics may include (not limited to) k-nearest neighbors, naïve-Bayes, linear and logistic regression models, time-series models, classification and regression trees, Principle Component/Factor Analysis, non-linear models, neural networks, random forests, and cluster analysis among others. Prereq.: DATX 5801 or CSIS 3722. 3 s.h.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

web.ysu.edu/home

Phone Number:

(877) 468-6978

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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