Μοντελοποίηση αιφνίδιων συμβάντων σε δεδομένα ψηφιακών κοινωνικών δικτύων με χρήση του νευρωνικού μοντέλου Neural Prophet
Modeling sudden events in digital social network data using the neural model Neural Prophet
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Keywords
Neural Prophet ; Machine learning ; Neural networksAbstract
The main idea of the project was the use of algorithms in social networks. The purpose
of this study is to investigate the effectiveness of Neural Prophet. We splited the project
into several stages to make the process we followed more comprehensible. Regarding
the first stage, this concerns the installation of all requirements , including libraries and
software (matplotlib, pandas, neural prophet, PyCharm). The second stage concerns
data preprocessing, which involves the percentage-based splitting into training and
testing datasets. The third stage focuses on data visualization (graph plotting), while
the fourth stage involves the creation and training of the model. The fifth stage concerns
forecasting (the results obtained using Neural Prophet). Finally, the sixth stage involves
the visualization of results through diagrams.
Department
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
46Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού - Μη Εμπορική Χρήση - Παρόμοια Διανομή 3.0 Ελλάδα
Αναφορά Δημιουργού - Μη Εμπορική Χρήση - Παρόμοια Διανομή 3.0 Ελλάδα