4h
4h
Causality in Observational Data Part 2
Pedro M. Ferreira keyboard_arrow_right
4h
Causality in Observational Data Part 1
Pedro M. Ferreira keyboard_arrow_right
4h
Causality, Correlation and Unobserved Effects
Pedro M. Ferreira keyboard_arrow_right
2h
4h
Ensemble Learning (Bagging, Boosting and Stacking)
Miguel Godinho Matos keyboard_arrow_right
4h
Core Machine Learning Models
Miguel Godinho Matos keyboard_arrow_right
4h
The Expected Value Framework
Miguel Godinho Matos keyboard_arrow_right
4h
Model Evaluation, Fit, Overfit and Complexity Control
Miguel Godinho Matos keyboard_arrow_right
4h
Introduction to Supervised Learning for Regression and for Classification
Miguel Godinho Matos keyboard_arrow_right