Data Mining (Invited Teaching Assistant)
Masters course, Universidade NOVA de Lisboa, NOVA Information Management School, 2023
Course taught to Information Management masters students.
Weekly practical classes focused on descriptive methods of data mining (unsupervised learning), including exploratory analyses, outlier detection, feature extraction, data imputation, dimensionality reduction and clustering methods (with particular focus on K-means clustering and Self-organising maps).
Academic Year 2023/2024
- Course materials are available in the course’s Github repo.
- The course syllabus is available here.
Academic Year 2022/2023
- Course materials are available in the course’s Github repo.
- The course syllabus is available here.
Academic Year 2021/2022
- Course materials are available in the course’s Github repo.
- The course syllabus is available here.
Academic Year 2020/2021
- Course materials are available in the course’s Github repo.
- The course syllabus is available here.