Akademik Dersler - Tanıtım


Code - Course Title	İST5501 - Machine Learning with Python
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOÇENT DOKTOR ÖZER ÖZDEMİR
Mode of Delivery	The mode of delivery of this course is Face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Recommended Reading List	Python ile Makine öğrenmesi, Doç. Dr. Engin Sorhun, Abaküs Kitap, 2023.
Assessment methods and criteria	Writen exam
Work Placement	N/A
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction to Python and Variables
Week - 2	Conditionals and Decision Structures
Week - 3	Loops and Data Structures
Week - 4	Functions and Error Handling
Week - 5	File Operations and Modules
Week - 6	Introduction to NumPy and Pandas
Week - 7	Data Cleaning and Visualization
Week - 8	Introduction to Machine Learning with Python and Scikit-learn
Week - 9	Regression Models with Python: Linear, Polynomial
Week - 10	Classification Algorithms with Python
Week - 11	Decision Trees and Random Forest with Python
Week - 12	Clustering Algorithms with Python
Week - 13	Model Evaluation, Cross-Validation, and Hyperparameter Tuning with Python
Week - 14	Real-World Data Application

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0