A set of open source libraries for controlling AVB entities using the AVDECC (IEEE 1722.1) protocol compliant to Avnu Milan Specifications

Ejercicio en R realizado en base a un dataset sobre los AirBnB en Milan

Milan Dzuriš README.md

This problem statement focused on building machine learning models that would assist create city-level air pollution susceptibility maps with a 5-meter spatial resolution for milan city in Italy. This city has unique challenges of dealing with pollution levels due to its unique topographic features.

Import .CSV file into python and upload to database with mysql and sqlalchemy also some queries to find best locations and prices

Analyse and model prices of apartments in Milan

This project was made for the course of Geospatial analysis and representation for data science in Università di Trento, 2022.

An urban exploration game tested by students in Milan.

Housing Price Prediction in Milan (Italy) through Neural Networks of Deep Learning field after the Real Estate crisis due to COVID-19

MiLan 编译器拓展

Geolocation app made with HTML,CSS, JavaScript, NodeJS, MySQL. The program pulls the location of hotels, restaurants and other services from public databases. They are then displayed on the map using the Google Maps API. A review feature is also implemented, the reviews can be written by users connected to the NodeJS server and are saved on a My…

Udacity project related to the exploration and usage of CRISP-DM process to analyze and visualize results related to Airbnb accomodations in Milan area

Analysis of fashion companies in Milan and Paris stocks performance and volatility in the face of COVID-19 pandemic

Project on Milan Pollution Analisys using R language and ShinyApp

Qui un po' di documenti utili per districarsi nell'analisi del programma di rigenerazione urbana in Giambellino

AFROS = Atari/ARAnyM FRee Operating System

Project for the Bayesian Statistics exam at University of Trieste

Repository per tutti i talk tenuti ai meetup di Milano Frontend

Open Data distributed by the city of Milan in an easy to use format (GeoJSON) and some experiments