Basics of Machine Learning and Classification in Python (3cr)
Course unit code: 5G00FC54
General information
- Credits
- 3 cr
Objectives
The aim is to provide a tool package ("a set of algorithms") to be able to solve simple real world problems with machine learning.
The course time load will averagely be: 20 % in-class lectures and 80 % of student own/pair working.
Content
Timetable:
Lecture 1. 9.10. Introduction. Basic of machine learning and classification. Introducing the course assignments. Homework.
16.10. Autumn brake
Lecture 2. 30.10. Decision Trees and Random Forests. Homework.
Lecture 3. 13.11. Support Vector Machines. Homework.
Lecture 4. 27.11. Ensemble Learning, Bagging and Boosting. Homework
Lecure 5. 11.12. Exam.
Prerequisites
Knowledge and skills of basics of programming and engineering mathematics.
Assessment criteria, satisfactory (1-2)
Evaluation/grading criteria:
40 % from course exercises
40 % from course assignment
20 % from multiple choice exam
A student with the best course assignment will get the final grade + 1.
The student must complete at least one course exercise. Grades from course exercises:
1 working exercise = grade 2
2 working exercise = grade 3
3 working exercise = grade 4
4 working exercise = grade 5
Assessment criteria, good (3-4)
Evaluation/grading criteria:
40 % from course exercises
40 % from course assignment
20 % from multiple choice exam
A student with the best course assignment will get the final grade + 1.
The student must complete at least one course exercise. Grades from course exercises:
1 working exercise = grade 2
2 working exercise = grade 3
3 working exercise = grade 4
4 working exercise = grade 5
Assessment criteria, excellent (5)
Evaluation/grading criteria:
40 % from course exercises
40 % from course assignment
20 % from multiple choice exam
A student with the best course assignment will get the final grade + 1.
The student must complete at least one course exercise. Grades from course exercises:
1 working exercise = grade 2
2 working exercise = grade 3
3 working exercise = grade 4
4 working exercise = grade 5