
| Course Code | : MYL631 |
| Course Type | : Area Elective |
| Couse Group | : Third Cycle (Doctorate Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
The aim of the "Data Science and Machine Learning with Modern R Programming" course is to train students in the fields of data science and machine learning using the R programming language. During the course, students will learn fundamental concepts in data mining, data visualization, modelling, prediction and learning using the R programming language. The main objective of the course is to teach students the basic concepts and applications that can be used in the fields of data science and machine learning.
The course "Data Science and Machine Learning with Modern R Programa" is designed to teach the fundamentals and applications of data science and machine learning in the R environment. The course describes the fundamentals of data science and machine learning, while also providing information on the use and application of these fields in R. Students will build a strong framework by studying sample datasets and writing code while learning key tools and concepts used in data science and machine learning in R. The course focuses specifically on data mining, rule-based learning, support vector machines, decision trees, natural language processing, and other machine learning techniques.