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Name: Alessandro Monolo
Type: User
Company: Astalegale
Bio: Data Scientist
Location: Milan
Name: Alessandro Monolo
Type: User
Company: Astalegale
Bio: Data Scientist
Location: Milan
The research mainly aims to identify through classification algorithms if one day, based on its climatic features and concentrations of harmful elements in the air, it turns out to be harmful (or not) to the health of citizens in the Milan metropolis. A second prediction model was adopted to predict daily mean PM2.5 values.
Establishment of a Model to Define the Impact of Lombardy Region Citizens on PM2.5 Emissions During Their Daily Activities. The project aims to identify environmentally harmful actions and promote a more sustainable lifestyle through a ranking system of citizens. The model is based on the Z-Score Index.
The project aims to identify the best model for the classification of texts derived from descriptions of assets subject to Italian judicial auctions. The employed models include both conventional models, such as Logistic Regression, Naive Bayes, SVM, and XGBoost, and neural network models, such as Fasttext and XLM-Roberta.
This research aims to analyze the tweets of the foremost Italian populist leaders to observe the different communication methods adopted by Giuseppe Grillo, (Movimento 5 Stelle), Giorgia Meloni (Fratelli D' Italia) and Matteo Salvini (Lega).
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