Data Science For Economics And Finance (I.C. – Bologna

• 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.

• 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.