This course covers the use of the KNIME analytics system from beginning to machine learning. The data used is in CSV files. The used methods are decision tree, random forest and linear regression. Also photos are analyzed with decision trees. Basics understanding of machine learning is recommended.Learning outcomes:
Basics understanding of machine learning is recommended.
1 – 5
The task answer correctness is checked. Innovative findings and use of KNIME nodes in the analyses are needed for grade 5. All tasks need to be at least tried. Activity in the discussion forum is noted in the evaluation.
There is a timeline of the tasks in Moodle, but you can do them on your own timeline before 15.8.2023.