Machine Learning in Banking - Tips & Tricks: Session 3 - Classification with Logistic Regression, Decision Trees and Neural Networks

42 Pages Posted: 22 Nov 2022

See all articles by Eric Benhamou

Eric Benhamou

Université Paris Dauphine; AI For Alpha; EB AI Advisory; Université Paris-Dauphine, PSL Research University

Date Written: September 30, 2022

Abstract

These slides are part of the Data & Ai reskilling seminar in Banking hosted by Dauphine and Ecoles des Mines PSL. They provide tips & tricks for classification using logistic regression, decision trees and neural networks

Keywords: Machine learning, classification, regression, logistic regression, decision trees

JEL Classification: G13

Suggested Citation

Benhamou, Eric, Machine Learning in Banking - Tips & Tricks: Session 3 - Classification with Logistic Regression, Decision Trees and Neural Networks (September 30, 2022). Available at SSRN: https://ssrn.com/abstract=4234552 or http://dx.doi.org/10.2139/ssrn.4234552

Eric Benhamou (Contact Author)

Université Paris Dauphine ( email )

Place du Maréchal de Tassigny
Paris, Cedex 16 75775
France

AI For Alpha ( email )

35 boulevard d'Inkermann
Neuilly sur Seine, 92200
France

EB AI Advisory ( email )

35 Boulevard d'Inkermann
Neuilly sur Seine, 92200
France

Université Paris-Dauphine, PSL Research University ( email )

Place du Maréchal de Lattre de Tassigny
Paris, 75016
France

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