Other platforms for the course management:
Github: https://github.com/isa-ulisboa/greends-fads-exercises
Moodle: https://elearning.ulisboa.pt/course/view.php?id=12882
Github: https://github.com/isa-ulisboa/greends-fads-exercises
Moodle: https://elearning.ulisboa.pt/course/view.php?id=12882
Note: All class slides will be available through Moodle.
Class 01 - Welcome! What is data science
Class 02 - Data Science Environment
Class 02 - Data Science Environment
Class 03 - Hackathon workshop
Class 04 - Data Science Methodology
Class 05 - Data Science Applications and Tools
Class 05 - Data Science Applications and Tools
Class 06 - Hands-on work
Class 07 - Tools for Data Science - programming
Class 08 - Tools for Data Science - data
Class 09 - Tools for Data Science - ML
Class 11 - Tools for Data Science - Unsupervised ML
Class 12 - Tools for Data Science - Semi-supervised learning
Class 13 - Communicating results
Class 14 - Ethics and privacy
Class 09 - Tools for Data Science - ML
Class 11 - Tools for Data Science - Unsupervised ML
Class 12 - Tools for Data Science - Semi-supervised learning
Class 13 - Communicating results
Class 14 - Ethics and privacy