No-Code Machine Learning

Beskrivning

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:

• KNIME usage
• used methods in KNIME
• analysis of the used methods

Förkunskapskrav

Basics understanding of machine learning is recommended.

Bedömningskriterier

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.

Arbetsformer och schemaläggning

This course is totally online and self-conducted. It takes the summer of 2023: Moodle site opens 15.5.2023. The tasks need to be completed by 15.8.2023. You can do the tasks at your own phase. This course takes the ECTS calculated hours of 3 credits.

Info

There is a timeline of the tasks in Moodle, but you can do them on your own timeline before 15.8.2023.

Mer information

• Ask for more information on enrollment, course approval, usernames and grades studentservices@hamk.fi
• The teacher will only answer questions about the content of the course.

Anmälningsinformation

• Check the implementation plan before enrolling.
• Write your personal identity number in the correct format on the form! An incompletely reported ID may prevent you from accessing the course. You also can’t transfer a credit to your home university without Finnish ID.
• Make a note for yourself of which course you have enrolled for
• Registration is binding. If you have to cancel your registration, please email studentservices@hamk.fi to make room for another student
• Please note that you will receive an email about approval usually after the registration deadline of the course.
• You will receive an email when you have been approved and an ID has been created for HAMK’s information systems. Email sometimes goes into spam, so check your spam as well.
• We require the registration and use of HAMK ID, because only then can we guarantee the availability of all e-materials during the course. HAMK’s username is also required to provide course feedback after the implementation is complete.