Class Number: 1046
Description: Hours: Three hours lecture per week Prerequisite: MATH 398 Description: Students will learn how to construct machine learning models using current data science programming languages. Topics will include regression, classification, nonparametric models, tree-based methods, deep learning models, and unsupervised learning techniques.

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Days Time Date Range Location Instructor
MW 03:00 PM - 04:15 PM 01/21/2023 - 05/19/2023 Bell Tower 1462 Isaac Quintanilla-Salinas
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 01/21/2023
End Date: 05/19/2023
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 19
Available Seats: 6
Wait List Capacity: 10
Wait List Total: 0


Enrollment Information

  • Upper Division
  • In-Person
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