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ISTANBUL GELİŞİM UNIVERSITY INFORMATION SYSTEM

MACHINE LEARNING COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
BIL415 MACHINE LEARNING 5 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week Preparatory Topics(Subjects) Method
1 - Introduction to Machine Learning -
2 - Introduction to python and jupyter notebook -
3 - Naïve bayes -
4 - Naïve bayes-implementation and more examples -
5 - Decision Tree -
6 - Descision Tree- model evaluation -
7 - Confusion matrix-Overfitting-K nearest Neighbor -
8 - MID-TERM EXAM -
9 - Linear and logistic regression -
10 - Neural network and Deep learning -
11 - Reinforcement learning -
12 - Clustering -
13 - Project presentations -
14 - Project presentations -
15 - Project presentations -
16 - FINAL EXAM -
17 - FINAL EXAM -