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Labeler - is a set of scripts that train and evaluate classifiers for movie genres prediction task. The classifiers predict genres by using movies' descriptions, subtitles or trailers.

Stanford CoreNLP tools for SkELL @ unibz/EURAC/Uni Innsbruck.

Codebase for a docker container to be used in the ADO pipeline

A hybrid user action prediction model that uses Sequence Mining (SM) and Collaborative Filtering (CF). The model leverages information about the users' performed actions and predicts whether a target user will perform a target action on an item.

DiDi Web Service

Data access and modification infrastructure for the DiDi corpus

A Python interface to access the Open Meteo Data API of the province Bolzano.

API connector for Open Meteo Data stations in Bolzano.

Datasets provided in the "Programming and Visualisation for Data Analytics" course. I'm storing them here for easy access in notebooks.