Speaker
Dr
Stefano Cavuoti
(INAF - Astronomical Observatory of Capodimonte Napoli)
Description
theoretical introduction to supervised learning key concepts:
- scaling
- hyper parameter tuning
- train-validation-test split
- cross validation
- classification and regression metrics
- feature importance
the following models will be introduced as well:
- k-nn
- Decision Trees (DT)
- Random Forests (RF)
- Support Vector Machines (SVM)