The aim of the thesis is to analyze the departure delays of an airline. To achieve this, machine learning is used in particular through neural networks and tree models. In order to build suitable models, we will also focus on hyperparameter optimization.

The aim of the thesis is to analyze the departure delays of an airline. To achieve this, machine learning is used in particular through neural networks and tree models. In order to build suitable models, we will also focus on hyperparameter optimization.

Machine learning approaches for flight delay prediction

ALESSI, CATERINA
2022/2023

Abstract

The aim of the thesis is to analyze the departure delays of an airline. To achieve this, machine learning is used in particular through neural networks and tree models. In order to build suitable models, we will also focus on hyperparameter optimization.
2022
Machine learning approaches for flight delay prediction
The aim of the thesis is to analyze the departure delays of an airline. To achieve this, machine learning is used in particular through neural networks and tree models. In order to build suitable models, we will also focus on hyperparameter optimization.
Machine learning
Neural Network
HPO
Lauree magistrali
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/52236