CIS1863 — Data Mining ($)
3 hour(s) Elective Type: Technical Elective ($) Special Funding Identifier: KS Excel in CTE Initiative Description: This course introduces students to fundamental machine learning concepts and techniques for identifying patterns within data sets. Students will explore various machine learning models, including supervised and unsupervised learning, and apply industry-standard tools to analyze data. Through hands-on projects, students will evaluate data, train models, and generate data-driven recommendations. Emphasis is placed on practical applications, ethical considerations, and the interpretation of machine learning results for decision-making across various domains. Prerequisite(s): None Course