Prof. Sergio Pastorello

• The slides used during classes, sketches of training sessions, exercises solutions and mock exams will be made available for download from Virtuale.

Argomenti del programma: This course is taught entirely in English. Requirements The course assumes familiarity with introductory calculus, linear algebra, probability, and statistics. Basic knowledge of microeconomics is recommended. All empirical applications are implemented using the statistical software R.

• Additional material (scientific papers, tutorials, Python notebooks) will be provided during classes.

Argomenti del programma: The following topics will be covered: Introduction and Overview of Statistical Learning Linear Regression as a Prediction Tool Moving Beyond linear regression: K-Nearest Neighbors. Classification: K-Nearest Neighbors, Logistic Regression, misclassification rate, ROC curve, AUC.

• The slides used during classes, sketches of training sessions, exercises solutions and mock exams will be made available for download from Virtuale.

Argomenti del programma: This course is taught entirely in English. Requirements The course assumes familiarity with introductory calculus, linear algebra, probability, and statistics. Basic knowledge of microeconomics is recommended. All empirical applications are implemented using the statistical software R.

• Additional material (scientific papers, tutorials, Python notebooks) will be provided during classes.

Argomenti del programma: The following topics will be covered: Introduction and Overview of Statistical Learning Linear Regression as a Prediction Tool Moving Beyond linear regression: K-Nearest Neighbors. Classification: K-Nearest Neighbors, Logistic Regression, misclassification rate, ROC curve, AUC.

Argomenti del programma: Questa è una attività in lingua Inglese. Learning outcomes. Completing this course students will have the opportunity to “open their mind” exploring completely new topics which could be related or not to economics and finance with the aim to enrich their academic curriculum.