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The course is focused on solving practical data mining problems. Lectures deal with data transformation, pre-processing and verification, selection of a suitable data mining algorithm and data mining process evaluation and results interpretation. The attention is paid to solving an individual data mining problem based on real-life data under the supervision of the lecturer.
Where and when: mid-term and end-term presentations at CIIRC. The room will be announced in the MS Teams channel.
Teaching: prof. RNDr. Olga Štěpánková, CSc., Ing. Milan Nemy
Consultation: (preferred order)
The course can be completed in two ways (exclusive):
Option 1 (for students with intermediate knowledge of DM/ML)
Self-study of DM/ML in R/Python
Option 2 (for students with upper-intermediate to advance knowledge of DM/ML)
Self-study of two advanced DM/ML topics