Ανάπτυξη εφαρμογής για την πρόβλεψη αγοράς τραπεζικών προϊόντων μετά από τηλεφωνικό marketing
Date Issued
July 23, 2024
Type
Πτυχιακή Εργασία
Abstract
In this paper, the Bank Marketing dataset from the UC Irvine
Machine Learning Repository is used for the development of
a decision support system to enhance targeted bank
telemarketing. In the first part of the paper, the dataset
is analyzed to better understand the statistical correlations
between its variables. Subsequently, data preprocessing
techniques were applied to the dataset's variables for their
use in training machine learning algorithms. During training,
performance comparisons were made between these algorithms,
with the optimal algorithm being Extreme Gradient Boosting.
Finally, using the optimal algorithm, the decision support
system was implemented in the form of an application
programming interface, which was applied to a web-based
customer management application to simulate a use case.
Subjects