In recent years, Machine Learning algorithms spread consistently in a lot of fields thanks to their strong potential and ability in dealing with relevant and common problems such as classification, prediction, regression, pattern analysis etc. The main purpose of this project is to exploit Machine Learning solutions for fault management and network monitoring in telecommunication infrastructures. Monitoring systems are usually used, by telecommunication companies, to detect and record the malfunctioning during the journey of the signal from the service provider to costumers, in particular, this work is focused on what happens when the signal arrives in the cabinets, devices positioned along the roads that make the signal travel in the last kilometres.