Francesca Avidano
Machine Learning techniques. Clustering and Classification: a project with Banca di Asti.
Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022
Abstract
This master's degree thesis is focused on the exploration and application of the most known machine learning algorithms on a dataset provided by Banca di Asti, a local bank situated in Northern Italy. Specifically, data belong to observations conducted in 2021 on a subset of bank’s customers. In fact, in order to shrink just to clients who can take advantage from services offered by Filiale OnLine, some restrictions became necessary: the selection has been done on private customers, owners of at least one bank account and of the internet banking product “Banca Semplice Home”. After the analysis of the dataset dimensions and features, two different kinds of machine learning techniques have been performed.
For an unsupervised learning, customers’ clustering has been considered, while supervised learning has been carried out through a classification task
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