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NİĞDE ÖMER HALİSDEMİR UNIVERSITY
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NİĞDE VOCATIONAL SCHOOL OF TECHNICAL SCIENCES / ROBOTICS AND ARTIFICIAL INTELLIGENCE / RYZ1006 -
GENERAL INFORMATION ABOUT THE COURSE
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Course Objective
Students should understand the basic algorithms of machine learning and gain competence in data-driven problem solving.
Brief Content of the Course
Covers data preprocessing, supervised learning (regression and classification), unsupervised learning (clustering and dimensionality reduction), model evaluation, and selection techniques. Enables students to apply fundamental machine learning algorithms to real-world datasets.
Prerequisites
Course Objectives
Course Objectives
1
To explain the basic concepts of machine learning.
2
To apply data preprocessing techniques.
3
To use supervised learning algorithms.
4
To analyze unsupervised learning approaches.
5
To apply model evaluation and selection metrics.
6
To discuss ethical principles in machine learning projects.
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