IST 5520: Data Science and Machine Learning with Python
Examines data science methodologies for scraping, manipulating, transforming, cleaning, visualizing, summarizing, and modeling large-scale data as well as supervised and unsupervised machine learning algorithms applied in various business analytics and data science scenarios. Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn are utilized.
Time/Day: 10:00 AM - 10:50 AM MWF Prerequisites: : One of Stat 3111, Stat 3113, Stat 3115, or Stat 3117; one of IS&T 1552, IS&T 1562, Comp Sci 1575; for Graduate Students: knowledge of calculus, statistics, and programming. Units: 3 Course Component(s): Lecture |
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Attention Distance Students
For classes produced by I.T. MediaServices: Access to live and archived media will be available in MediaSpace at mst.mediaspace.kaltura.com or in Panopto at mst.hosted.panopto.com. For more information email itms@mst.edu.
For other course content: please contact your instructor.
Enrollment Information | ||||
Campus | Delivery Mode | Class Status | Class Nbr | Section |
Distance Education | Internet | OPEN | 72655 | 1DIS |
Course Access Information | ||||
Learning Management System | Canvas |