Ανάλυση δεδομένων και εφαρμογή μηχανικής μάθησης έναντι του ιού SARS-CoV-2
Data analysis and application of machine learning against virus SARS-CoV-2
View/
Keywords
SARS ; COVID ; Machine learning ; ARIMA ; COVID-19 ; ARIMA ; Vaccines ; Python ; Vaccination ; Μηχανική μάθηση ; Εμβόλια ; ΕμβολιασμόςAbstract
The present study focuses on the impact of the disease known internationally as SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), which causes COVID-19 and is responsible for the ongoing pandemic. Specifically, the study will use the ARIMA (Auto-Regressive Integrated Moving Average) machine learning algorithm to predict future values, based on time-series data. The analysis will be conducted using the Python programming language, with a focus on global data, including data specific to Greece. The study will also include appropriate visualizations to illustrate the spread of the virus and analysis of vaccination data related to the COVID-19 pandemic. The study will conclude with a summary table of statistical data, using the Tableau data visualization tool.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
64Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα