|
Mar 15, 2025
|
|
|
|
CEA 4355 - Engineering Data AnalyticsCredit Hours: 3.0 Lecture Contact Hours: 3 Lab Contact Hours: 0 Prerequisite: CEA 4321 . Description R programming, structured and unstructured data, big data, data tidying, data visualization and exploratory analysis, regression, unsupervised and supervised machine learning, predictive data modeling, illustrative applications.
Add to Portfolio (opens a new window)
|
|